Jahnavi Mahanta
Gurgaon, Haryana,India
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Jahnavi Mahanta is a Principal AI/ML Engineer at Microsoft, based in Redmond, Washington. She is deeply involved in building and scaling cutting-edge Artificial Intelligence and Machine Learning solutions, with a strong focus on Generative AI, Large Language Models (LLMs), and ensuring Responsible AI practices. Jahnavi holds an M.Sc. in Mathematics and a B.E. (Hons.) in Computer Science from BITS Pilani, one of India's premier engineering institutes. Before Microsoft, she gained valuable experience as an AI Engineer at ThoughtSpot. Jahnavi is passionate about leveraging AI to solve real-world problems and is an advocate for knowledge sharing within the tech community, often contributing through technical blogs and talks.
Professional Summary
Jahnavi Mahanta's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Principal AI/ML Engineer at Microsoft
Achieved a significant technical leadership position at Microsoft, driving innovation in AI and Machine Learning, particularly in the rapidly evolving field of Generative AI.
Grace Hopper Celebration (GHC) Scholar
Recognized as a scholar for the Grace Hopper Celebration, the world's largest gathering of women technologists, highlighting her potential and contributions to the field.
Thought Leader in AI/ML
Actively contributes to the AI/ML community through technical articles, blog posts (e.g., on Medium), and speaking engagements, sharing insights on LLMs, MLOps, and Responsible AI.
Development of Scalable AI Solutions
Successfully contributed to the design, development, and deployment of large-scale machine learning models and AI-powered features in products used by millions.
Educational Background
Master’s Degree, Economics
The Ohio State University - Year 2002
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Company Overview
EconolyticsEconolytics is a specialized consulting firm providing advanced economic analysis, data science, and predictive modeling solutions. They help businesses and organizations leverage economic insights and big data to make informed strategic decisions, optimize operations, and understand market trends. Their services often cater to sectors like finance, retail, and public policy, focusing on econometric modeling, market research, and impact assessment.
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