Purpose Driven Impact That Matters
Financial Services
Technology
AI Startup
Corporate Venture Capital
Non-Profit
Built a strong analytical foundation combining economic theory with statistical modeling.
Developed business acumen and stakeholder communication skills in strategic consulting.
Pivoted to data-driven decision science, building predictive models for business impact.
Specialized in natural language processing, building enterprise NLP solutions pre-LLM era.
Leading AI Center of Excellence at Fitch, pioneering agentic AI and generative AI solutions.
Cutting-edge AI technologies with real-world enterprise applications
Building scalable agentic AI solutions, RAG frameworks, and knowledge graphs for enterprise applications.
Leading-edge work in Generative AI, LLMs, and building solutions that deliver real value in financial services.
Deep expertise in Natural Language Processing, from traditional methods to state-of-the-art transformer models.
Human-centered, values-aligned innovation with focus on ethical AI integration and enterprise governance.
Podcasts, panels, and technical workshops.
Shaping the future of AI and empowering the next generation of tech leaders
NVIDIA Corporation
Global AdvisorSelected as one of 33 global advisors shaping the future of accelerated computing solutions and enterprise AI deployment strategies.
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preql.ai
AI Board AdvisorStrategic guidance for an AI-powered agentic data-engineering startup for fintech, advising on product strategy and AI implementation.
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HearstLab
Scout for AI Startup and ScaleupCorporate Venture Capital Scout, focused on funding women-led startups to address the gap where only 2% of venture capital goes to women founders.
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Women in AI
NY AmbassadorServing as NY Ambassador for Women in AI, organizing events and workshops for 70K+ community members.
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Stanford University
AmbassadorServing as ambassador for Stanford's Women in Data Science initiative.
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American Society for AI
Distinguished MemberConnecting with AI leaders across tech, government, research, legal, policymakers, and defense to shape the future of responsible AI design.
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Money20/20
Mentor & AmbassadorMentoring fintech startups and entrepreneurs through the Money20/20 Amplify program, providing guidance on AI implementation and business strategy.
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Topmate
Top 1% North America | Top 100 Data Coaches in USFeatured on Times Square Billboard as one of North America's Top 1% mentors and recognized as Top 100 Data Coaches in the US, providing career guidance and AI expertise to mentees worldwide.
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Rock the Street, Wall Street
Spring Programming MentorServed as a Spring programming mentor at the High School of Economics and Finance for Rock the Street, Wall Street’s investment literacy and financial career mentorship program for high school girls.
See MoreGlobal thought leadership across premier AI and tech conferences
New York, NY
Models, Chips & Graphs. Panel of 4 speakers. Invited through AI Circle.
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Columbia University, New York, NY
AI and the Future of FinTech: Skills, Roles & Strategy.
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New York, NY
Preparing the Future AI Workforce in the Age of Agentic AI. Invited through AI 2030 / Capgemini.
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United Nations Headquarters, New York, NY
Breaking Structural Barriers: How Women Reach Equality and Justice. Invited through Women in AI, New York.
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Kolkata, India
Special technical session on moving agents from prototype to production. Focus on infrastructure decisions, orchestration challenges, and governance frameworks that determine whether agents deliver value or become technical debt.
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New York, NY
Panel discussion on building AI-ready infrastructure in fintech. Exploring enterprise AI architecture, data pipeline integration, and modernizing legacy systems for scalable AI deployment.
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New York, NY
Panel discussion on scaling AI in enterprise environments. Exploring governance frameworks, production-grade AI systems, and building AI that delivers real value when "move fast and break things" isn't an option.
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New York, NY
Guest lecture at PACE AI Insight Series on "Building Agents That Actually Work: Tools, Orchestration, and the Path to Scale." Discussing tool design, orchestration patterns (ReAct vs. hierarchical agents), Model Context Protocol (MCP), and why 95% of AI implementations fail to reach production.
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New York, NY
Panel discussion hosted by OneSixOne Ventures & NextEra Energy Investments. Discussing where AI is delivering ROI in enterprise, how to govern agents without killing innovation, and what enterprise readiness looks like beyond the pitch deck.
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New York, NY
Panel session "Women Leading Change: AI & The Wealth Shift" at Fabrik NYC. Discussing how AI is rewriting who controls capital, innovation, and opportunity, and ensuring the future of AI includes everyone through representation and inclusive decision-making.
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Virtual
Tutorial on building multi-agent frameworks and responsible AI practices.
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Virtual
Session on AI education and agentic AI systems. Community discussion on building AI skills, understanding agent architectures, and career pathways in AI.
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Virtual
Women in AI Chai: Being a woman in tech is tough, in AI it’s even tougher. We’ll share chai and stories on what it takes to keep up. Breaking barriers event for Women in AI community.
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Virtual
Guest interview with Krishna Gade (Founder and CEO of Fiddler AI) on lessons learned from building agentic systems. Discussing common failure points, why traditional testing falls short for non-deterministic agents, adopting a continuous observability mindset, and practical techniques for diagnosing failures by tracing the full logic chain: reasoning, planning, memory access, and tool use.
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Las Vegas, NV
Tech track speaker at AI4 conference. Sharing insights on enterprise AI, production systems, and the future of AI in business applications.
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Paris, France
Speaking at Europe's premier responsible AI summit. Discussing ethical AI deployment, governance frameworks, and building trustworthy enterprise AI systems.
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Virtual
Panel discussion on AI careers in tech. Sharing insights on building successful careers in AI and technology, skill development, networking strategies, and navigating the evolving AI industry landscape.
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New York, NY
AI in Finance Roundtable at The AI Hot 100 Summit.
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New York, NY
NYC launch of 𝗧𝗲𝗰𝗵 𝗣𝘂𝗹𝘀𝗲 𝟮𝟬𝟯𝟬, part of the TECH WEEK by a16z-series hosted by AI 2030. This exclusive gathering is co-hosted by the Lair East Labs, FinTech4Good, 1871, Amazon Web Services (AWS) and explores how 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀, 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗮𝗻𝗱 𝗶𝗺𝗽𝗮𝗰𝘁 𝘀𝗲𝗰𝘁𝗼𝗿𝘀.
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New York, NY
Panel on deploying autonomous agents and generative AI in financial services. Exploring agent architectures, use cases, and production deployment strategies for finance.
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New York, NY
Panel discussion at WiDS NYC on data science careers, AI applications, and advancing women in the field. Sharing insights on building impactful data science careers.
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Expert panel "LLMs at the Edge: Challenges and Promises for Real-Time Intelligence" as part of CeADAR's Lighthouse Projects Programme. Discussing edge LLM deployment for financial services, including trading, fraud detection, privacy, and cost considerations. Exploring challenges around security, bias detection, user consent, and sustainability.
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Virtual
Keynote on integrating knowledge graphs with RAG systems for enhanced financial data analysis. Exploring causal AI approaches and structured reasoning for enterprise applications.
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Boston, MA
Hands-on workshop on developing production-ready AI agents for financial services. Covering agent architecture, financial data processing, and real-world enterprise deployment strategies.
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Virtual
Keynote speaker at Saxo AI Quest innovation summit. Discussing AI innovation in financial services, cutting-edge applications, and the future of AI-driven trading and investment platforms.
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Virtual
Guest speaker for the #1 rated course on Maven, "Building Agentic AI Applications with a Problem-First Approach" by Aishwarya Naresh Reganti and Kiriti Badam. The course teaches RAG, evals, agents, MCP, multi-agents, and context engineering—always as tools to solve business problems. Focuses on developing problem-first AI intuition, evals-driven mindset, practical prompt engineering, and building optimized agentic pipelines for enterprise use cases.
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New York, NY
Panel speaker at UiPath Agentic Finance Event. Discussing automation, AI agents, and the intersection of RPA with intelligent AI systems for enterprise transformation.
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Virtual
Tutorial on DataCamp platform covering AI and data science topics. Hands-on learning session for building practical AI skills and data science expertise.
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Pace University - Seidenberg School, New York, NY
Guest lecture sharing insights on the future of AI and innovation in technology. Exploring emerging trends, breakthrough applications, and what's next in enterprise AI.
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New York, NY
Led the launch of Women in AI NY chapter and hosted a community event in partnership with Meta and panel discussion on Future of AI Investing and Business. Building connections, sharing experiences, and advancing women's leadership in the AI community.
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New York, NY
Delivered a keynote on Causal AI and how to incorporate that with generative methodologies. Discussed how RAG falls short when faced with causal complexities of financial decision-making, and how integrating causal inference techniques like counterfactual reasoning, intervention, and causal discovery into the RAG pipeline helps build more trustworthy financial models with improved interpretability.
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New York, NY
Moderated a panel discussion with esteemed Venture Capitalists including John L. (Co-Founder, CELA), Joseph Dormani (Partner, Thomson Reuters Ventures), Joyce J. Shen (AI Investor, Author, and Machine Learning at UC Berkeley), and Aaron Rubin (Partner, Gunderson Dettmer). Discussed what makes a pitch compelling, especially in the context of AI-driven ventures.
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Rensselaer Polytechnic Institute (RPI), Troy, NY
Delivered a keynote at Google Developers Group's DevFest 2024 with the theme "Build with AI." Presented on why LLMs-as-a-judge won't fix your evaluation woes, diving deep into what we actually need for proper LLM evaluation. The event featured inspiring tech talks, hands-on workshops, and networking opportunities for the developer community.
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New York University, Brooklyn Campus
Moderated a powerful panel session at ACM ICAIF 2024 workshop on "Navigating Regulatory Challenges and Ensuring Robustness in AI/ML Models for Finance." Panel featured esteemed experts including Dr. Miquel Noguer i Alonso (Founder, AIFI), Harry Mendell (AI Architect, Federal Reserve Bank of New York), and Subhabrata Das, PhD (VP Asset Management, JPMorganChase).
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NYU Center for Data Science, New York, NY
Guest lecture at NYU Center for Data Science sharing practical career insights and tips for professionals in NLP and data science. Discussed career paths, essential skills development, industry opportunities, and strategies for building a successful career in natural language processing and data science. Provided actionable advice for students and professionals looking to advance in these rapidly evolving fields.
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Lightning AI Office, New York, NY
Delivered an insightful talk titled "Evaluating the Evaluators!" at the Comet ML and Lightning AI GenAI community meetup in New York. Dived deep into the complexities of assessing Large Language Models (LLMs), covering everything from evaluation metrics to open-source initiatives. The event brought together the GenAI community for networking and knowledge sharing, hosted by the Lightning AI team.
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Virtual
Spoke at Stage 1: Rocking the Enterprise at Arthur's first virtual AI Fest event, discussing the evaluation of AI models. Addressed how current methods for assessing AI's societal impacts are too narrow and often come as an afterthought. The event featured an outstanding lineup of speakers from interdisciplinary fields including research, law, product, data science, and responsible AI from organizations like Hugging Face, Palantir Technologies, Coinbase, University of Oxford, Nomic AI, and Balyasny Asset Management.
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London, UK
Presented the talk "Decoding LLMs: Evaluation is All You Need!" at ODSC Europe 2024 in London. The title is a spin on Google's pivotal 2017 paper "Attention is all you need," emphasizing that cracking the evaluation layer is the KEY for successfully implementing LLMs for enterprise use-cases, especially in Finance.
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Columbia University, New York, NY
Guest lecture at Columbia University on natural language processing and generative AI, sharing insights on current trends, applications, and future directions in NLP and GenAI technologies. Discussed the latest developments in language models and their practical applications.
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Microsoft New York Office, Times Square, New York, NY
Delivered a keynote at AI Camp on Retrieval-Augmented Generation (RAG) and Large Language Models, discussing advanced applications, best practices, and real-world implementations of RAG systems with LLMs. Explored how RAG enhances LLM capabilities by integrating external knowledge sources and enabling more accurate, context-aware responses for enterprise use cases.
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Virtual
Workshop at Comet ML event covering natural language processing, large language models, and machine learning operations. Sharing best practices for building and deploying NLP models in production.
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The George Washington University, Washington, DC
Spoke at DC Summit on LLMs and different ways to build an LLM evaluation strategy. Key takeaways: Evaluation is essential for production deployment, Agentic AI design patterns are the future, and the open-source community is driving innovation. Discussed the importance of evaluation frameworks for deploying models into production.
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New York, NY
Panel discussion at The AI Summit NYC on ensuring privacy in building Gen AI solutions at the enterprise level. Emphasized that privacy is everybody's business and that technologists need to progress in the field while keeping privacy and data ethics at the center. Panel featured Samrah Kazmi (Koxa Corp.), Chastity J. (Citi), and Michelle Chen (Cloudflare), moderated by Dina Blikshteyn (Haynes and Boone, LLP).
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Virtual
Presented on the role of LLMOps (Large Language Model Operations) in enterprise AI, discussing best practices for deploying and managing LLMs in production environments. Explored the intersection of generative AI, MLOps, and LLMOps for scalable enterprise solutions.
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Virtual
Interactive fireside chat panel hosted by Data Science Salon on "Dive Deep into LLMs: Insights & Lessons from the Frontlines." Discussed design principles for tailoring LLMs for specific needs, optimization techniques, scalability challenges, real-world deployment experiences, ethical considerations & bias mitigation, and performance monitoring. Panel featured Valliappan Narayanan (AT&T) and Nishan Subedi (DoorDash), moderated by Vikram Chatterji (Galileo).
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Virtual
15-minute LinkedIn Live breakout session with Anna Anisin from Data Science Salon. Delved into how LLMs are changing traditional problem-solving approaches in NLP, extended insights from DSS NYC panel discussions on LLMs and their significance in the enterprise landscape, and discussed effective communication strategies for data scientists to get buy-in from leadership. Also highlighted work by companies like Cohere and Fiddler AI in productionizing LLM solutions with proper guardrails and evaluation standards.
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New York, NY
Panel discussion at Data Science Salon NYC on Large Language Models and Generative AI. Shared insights on LLM applications, deployment strategies, and their impact on enterprise solutions in the data science landscape.
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New York, NY
Keynote presentation at Google Developers Group Power Women event in NYC. Shared insights on AI, technology leadership, and empowering women in tech through community engagement and knowledge sharing.
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WomenTech Network, Virtual
Presented at WomenTech Network Global Conference on how Large Language Models are transforming the future of fintech. Discussed the evolution of NLP in fintech, from early word vector models to state-of-the-art models with trillions of parameters. Explored practical applications including customer service automation, CRM optimization, credit rating systems, governance and fraud detection, and content generation. Covered transfer learning techniques and demonstrated real-world implementations using models like DistilBERT and Flan-T5 for extracting information from financial documents. Emphasized the importance of responsible AI application, human-in-the-loop approaches, and thorough evaluation before deployment.
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Virtual
Presented on LLaMA (Large Language Model Meta AI) and open-source large language models, discussing their significance in the data science and machine learning landscape. Explored how open-source LLMs are democratizing access to advanced AI capabilities and transforming the way we approach natural language processing tasks.
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New York, NY
Presented at Data Science Salon NYC on "AI @ Fintech," discussing how Large Language Models are changing the way we approach solving various challenges in the industry. Highlighted how open-source technologies and AI communities like Hugging Face are democratizing the adoption of NLP across industries. Emphasized that creative thinking on leveraging existing research and strategic implementation design is key to success. Discussed recent NLP breakthroughs including Meta AI's data2vec and RLHF models.
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New York, NY
Presented at The AI Summit on how Large Language Models are revolutionizing the way we do business. Participated in a panel with Natalie Monbiot about the need to demystify AI and educate everyone to ensure better adoption. Discussed how NLP in Fintech is becoming a game changer, emphasizing the importance of choosing NLP solutions in an era of exponential growth and implementation of text-based solutions for all kinds of use-cases. Highlighted Cohere and their game-changing models.
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Las Vegas, NV
Presented at AI4 2022 conference in Las Vegas, marking the return to in-person conference talks in the post-pandemic world. Shared insights on AI, machine learning, data science, transfer learning, and natural language processing. Connected with industry leaders and contributed to the knowledge sharing at this premier AI conference.
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Virtual
Presented at ICML (International Conference on Machine Learning) 2022, sharing research and insights on machine learning, technology, and AI advancements. Contributed to the global machine learning community through knowledge sharing and collaboration.
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London, UK
Presented at ODSC Europe 2022 in London, sharing insights on data science, machine learning, and AI. Engaged with the European data science community and contributed to discussions on cutting-edge developments in the field.
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Champlain College, Burlington, VT
Guest lecture on data analytics, data science, and business analytics. Shared insights on applying analytical methods to solve business challenges and drive data-driven decision making in organizations.
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Open Data Science Conference West, Virtual
Final session in the DistilBERT technical talk series at ODSC West 2021. Presented on the powerful DistilBERT models developed by Google, discussing transfer learning concepts and their applications in solving various NLP challenges. Part of a diverse speaker panel in the NLP track alongside Chris McCormick and Mona Diab.
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Data Innovation Summit, Virtual (Stockholm)
Presented at the Machine and Deep Learning Stage on transfer learning and building ML models. Discussed advanced techniques for leveraging pre-trained models and adapting them for specific use cases, exploring how transfer learning accelerates model development and improves performance.
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DPhi, Virtual
Hosted a session in association with DPhi on using powerful BERT/DistilBERT models developed by Google and leveraging transfer learning concepts to solve various NLP challenges. Explored how open-source technology enables learning and building innovative solutions, demonstrating practical applications of these state-of-the-art models.
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Machine Learning India, Virtual
First Telegram talk with Machine Learning India, discussing data science, machine learning, and AI topics. Engaged with the community on practical applications and emerging trends in the field.
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Virtual
Presented on natural language processing at the Women in Tech Online Festival, sharing insights on NLP applications, techniques, and career opportunities in the field.
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Open Data Science Conference, Virtual
Presented at Open Data Science Conference East, sharing insights on data science, machine learning, and AI applications. Engaged with the data science community on cutting-edge techniques and best practices.
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Machine Learning Conference Europe, Virtual
Presented at MLCONF EU on transfer learning and natural language processing. Discussed advanced techniques for leveraging pre-trained models and adapting them for specific NLP tasks, exploring how transfer learning revolutionizes model development.
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Data Summit Connect, Virtual
Presented on transfer learning and natural language processing at Data Summit Connect. Shared insights on leveraging pre-trained models for NLP applications and discussed practical approaches to building effective NLP solutions using transfer learning techniques.
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International Conference on Machine Learning, Virtual
Presented at ICML 2020 on natural language processing and its applications for social good. Discussed how NLP technologies can be leveraged to address societal challenges and create positive impact through responsible AI development.
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Virtual
Conducted a webinar on natural language processing, covering fundamental concepts, practical applications, and emerging trends in NLP. Engaged with participants on building effective NLP solutions and career opportunities in the field.
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WomenTech Network, Virtual
Presented on "Transfer Learning With BERT: Building a Text Classification Model" at the WomenTech Global Conference 2020. Discussed how to leverage BERT models and transfer learning techniques to build effective text classification systems. WomenTech Network promotes gender diversity in tech and connects professionals with companies that value diversity and inclusion.
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Celebrating excellence in AI innovation and leadership
Recognized by Analytics India Magazine as one of the 100 most influential leaders in Generative AI.
WomenTech Global Awards Finalist (2020, 2025) recognizing contributions to technology innovation and women's advancement in STEM.
Selected by Data Science Salon and Formulatedby as one of the 25 women leading AI in the finance industry.
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Featured in Times Square by Topmate as one of the Top 1% mentors in North America and Top 100 Data Coaches in the US.
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Selected as one of 33 global advisors helping shape enterprise AI platform strategy as part of NVIDIA’s Enterprise Platform Advisor program.
See moreTelevision, podcasts, and thought leadership features
Evaluating innovation and excellence in AI, fintech, and social impact
U.S. Congress
Panel Judge 2024 & 2025Panel judge evaluating innovative mobile applications with 13,800 students producing over 4,600 applications in 394 congressional districts. Panel jury for Congressman Ro Khanna (CA-17).
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Money20/20
Cohort Selection Judge 2025Judge for the prestigious fintech startup cohort selection process.
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Social Impact
Judge 2024 & 2025Judge for social impact and innovation initiatives.
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AI Summit
Judge 2025-2026Judge for AI excellence awards at the premier European AI summit.
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The AI Summit
Judge 2024Judge for the startup accelerator program at The AI Summit NYC.
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Industry Awards
Judge 2025-2026Judge for The AI Journal Global Excellence Awards and theCUBE Award 2024.
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The AI Journal
Panel Judge 2023Honored to be part of the judging panel for The AI Journal Global Excellence Awards 2023, evaluating innovative AI products and solutions. The real value of AI is not just in ideas, but how it is implemented - the key to success. Judged alongside incredible tech leaders, evaluating amazing products the industry is building leveraging AI at its core.
See MoreNeural Information Processing Systems
EvalEval & SafeGenAI TracksTechnical paper reviewer for NeurIPS evaluation and safe generative AI tracks.
See MoreACM
Technical ReviewerTechnical reviewer for ACM International Conference on AI in Finance.
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Technical ReviewerTechnical reviewer for computational linguistics conference.
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Technical ReviewerTechnical reviewer for IEEE Global Engineering Education Conference.
See MorePeer-reviewed research and technical publications
Chapter co-authored with Daniela M.: “Responsible Evaluation by Design (REvD): Measuring AI’s Total Impact,” in Part 1: Ethics & Responsible AI. American Society for AI (ASFAI) living anthology launched at Davos—ongoing weekly chapters on human-centered AI across ethics, education, policy, and finance.
Accepted workshop paper and poster presentation on AI applications in financial services. From Prototype to Production: Deploying Real-World AI / ML Models in the Financial Industry and paper titled: Responsible Evaluation by Design: Measuring AI’s Total Impact in Financial Applications
Accepted Lab Paper at the premier AI conference. Hands-on workshop on using cutting-edge AI technologies for financial inclusion. Sharing how to simplify complex financial documents and make essential services accessible to underserved communities.
Technical article exploring techniques for using semantic parsing in combination with syntactic mapping to create a domain-independent methodology of transforming natural language queries to structured query language. Published on Indellient blog.
Technical article on how Natural Language Processing with Machine Learning is used to detect fraud and misinterpreted information. Explores NLP applications in insurance and banking industries.
Upcoming episodes and featured discussions
Exciting conversations about AI, technology, and innovation are coming your way! Stay tuned for upcoming episodes featuring industry leaders, technical deep-dives, and thought-provoking discussions.
Speaker and topic information will be available here soon. Follow on LinkedIn to be notified when episodes go live!
Feedback from mentees, colleagues, event organizers and attendees
Absolutely brilliant session!
"Jayeeta's mentorship has been transformative for my career. Her insights on AI and her genuine passion for helping others succeed make her an exceptional mentor. I landed my dream job thanks to her guidance."
One of our highest-rated speakers!
"An incredible speaker who brings complex AI concepts to life. Her session at our conference was one of the highest-rated presentations we've ever had. The audience was completely engaged from start to finish."
A true thought leader!
"Jayeeta's ability to bridge the gap between technical AI implementation and business value is remarkable. Her guidance helped our team accelerate our AI initiatives and deliver real results."
Life-changing career advice!
"Her mock interview sessions and resume feedback were invaluable. Jayeeta doesn't just give generic advice—she tailors everything to your specific situation and goals. I couldn't have made my career transition without her."
Inspiring and practical!
"The workshop on AI agents was exactly what our team needed. Jayeeta made complex concepts accessible and gave us actionable steps we could implement immediately. We saw ROI within weeks."
Finding balance through life's simple pleasures and adventures
Find more of my food experiments here: @plantbased.coder
Tofu-Mushroom Coconut Curry with Quinoa
Red Pesto Pappardelle Pasta w/ Charred Sweet Red Peppers, Herbed Burrata, and Sage Oil
Find more of my food experiments here: @plantbased.coder
Blackberry Vanilla Sponge Cake w/ Honey Almond Mascarpone Frosting
Basque Cheesecake w/ Dark Chocolate Sauce
Bryce Canyon National Park, Utah
Angel's Landing, Zion National Park, Utah
Hydroponic Herb Garden
Propagating Pothos
Let's connect and explore opportunities to collaborate
Whether you're interested in mentoring, speaking opportunities, advisory roles, or collaborating on AI projects, I'd love to hear from you.