• Spearheaded the strategy, vision, and development of an innovative, first-of-its-kind Generative AI capability by integrating Azure AI Search with Copilot. This integration leveraged pre-built vector indexes to enhance Copilot's responses and was prominently showcased during Satya Nadella's keynote at Ignite 2024.• Built a 0-1 product in record time using RAG, Generative AI, Open AI embedding Models, Azure AI Studio, etc. to enhance relevance of chatbot responses as well as enable innovative features like intent identification, summarization, recommendations, citations, etc. to improve MAU• Led GTM, product roadmap, launch planning, customer presentation collaborating with Engineering, UX, Data Science, Sales, Marketing, Finance, Legal and successfully onboarded more than 7 customers to Public Preview of the feature • Led the enhancement of Product Ads and Bing Search results by incorporating DALL-E and GPT-4 and generated multi-million $ revenue • Built Robust chatbot solutions using Gen AI based Machine translation supporting 42 different languages and multiple businesses within Microsoft.

• Defined & owned the end-to-end product roadmap (OP1/OP2 cycles) for WorkDocs, building cross sell initiatives with other AWS services and driving feature enhancements to improve the overall engagement and retention• Partnered with Engineering, UX, Sales, Marketing, Finance, and Legal teams to build state-of-the-art collaborative editing experience, enhancing file management capabilities and increasing user engagement, aligning WorkDocs with competitors like Office Online, Box, and Dropbox• Improved CSAT for WorkDocs product through usability testing, A/B testing, competitor research, and UX enhancements based on customer feedback and data analysis• Led quarterly business reviews with senior leadership, including Directors (L8) and VPs (L10), to align multi-region preview and localization strategies. Presented comprehensive product metric analyses and customer anecdotes, uncovering opportunities to drive innovation and recommending strategies to enhance feature engagement and adoption.• Designed, developed, and launched a conversational AI platform for Amazon Seller Support, leveraging CNN, RNN, Reinforcement learning for advanced intent identification to address common seller queries

• Led team of 5 to build analytics for tracking customer behavior (e.g., visits, clicks, retention), driving a 10% lift in conversions• Spearheaded A/B testing platform development in collaboration with Adobe, increasing revenue by 7% in 6 months• Developed ML-driven personalization for Search Ads, achieving a 13% Click Yield increase and a 5% improvement in ROAS

• Conducted A/B testing, Data Analysis to improve Search Relevance with AI/ML based personalization

• Increased revenue by 19% by driving the enhancement of Search & Navigation through extensive experimentation

• Built high-quality enterprise billing solutions for Tier-1 insurance companies, improving customer retention by 12%• Contributed key project learnings to CSC’s internal knowledge repository, streamlining development processes