I'm a Senior Data Scientist at JPMorgan Chase, leading AI-first platform development for enterprise financial systems — shipping LLM-powered solutions, agentic workflows, and production-grade ML pipelines trusted at scale. Before JPMC, I spent several years at Amazon, where I won the 2024 World Wide Innovista Award for breakthrough ML work across 11 global marketplaces. Across 7+ years in data science and machine learning, I've worked at the intersection of fintech, e-commerce, and applied AI — turning complex models into real business impact.
Direct the roadmap for fitment and compatibility experiences by curating, fine-tuning, and governing large language models that instill shopper confidence at Amazon scale.
Lead cross-functional launches of agentic workflows, retrieval systems, and copilots that blend product, engineering, and CX priorities into measurable customer impact.
Partner with platform and infra teams to deliver resilient SageMaker, ECS, Lambda, and Bedrock stacks with automated governance, observability, and vector intelligence.
Steer automation portfolios — from TCS Google BU ticket triage to Amazon catalog QA — that unlock 30%+ productivity gains and faster response cycles.
Bridge applied science, full-stack engineering, and UX to ship production-ready features that marry elegant customer journeys with robust AI services.
Champion rigorous experimentation, narrative analytics, and CX instrumentation that translate AI signals into business metrics leaders can act on.
Attended Google I/O Connect 2023 in Bengaluru as part of Amazon, exploring early GenAI and LLM innovations. Hands-on sessions gave deep insights into Google's emerging AI ecosystem.
· Bengaluru, India
Returned to Google I/O Connect 2025 to experience the latest breakthroughs in Gemini, multimodal AI, and developer platforms. Engaging with experts shaping the next wave of AI products.
· Bengaluru, India