Leading Food is Medicine initiative for 1P and 3P in B2B and B2C model. Building an extended network of RD to provide fully covered benefits like MTG, MTM and many more. Full support from eligibility check, order and claim processing Led end-to-end strategy and GA of a $80M+ enterprise health initiative, integrating third-party APIs and e-commerce fulfillment. Created build-vs-buy evaluation frameworks covering compliance, EHR readiness, SLA strength, and cost to drive vendor and platform selection decisions across payer integrations.

Directed cross-functional alignment across 20+ teams (engineering, legal, marketing, payers) to ensure readiness, compliance, and time-to-market.

Built and deployed a HIPAA-compliant ML policy engine to power third-party sponsored health ads using MarTech platform in the Sincerely Health app.

Designed machine learning recommendation engine and behavioral targeting engines — ranking grocery items by nutritional value and user context while optimizing promotional and cart strategy, increasing CLV by 32%.

Built AI-powered internal tools using FastAPI and GitHub Copilot: a UX research automation workflow cutting time-to-insight by 85% through AI-generated reports, and an NLP analytics platform enabling teams to query customer insights using natural language.

Designed and deployed a HIPAA-compliant MCP-based multi-agent system with guardrails for PHI-aware workflows, enabling autonomous data extraction while enforcing human-in-the-loop safety controls (Microsoft Enterprise Hackathon winner).

Prototyped and shipped a production-ready case-manager platform using AI-accelerated development (Figma MCP, Copilot, live APIs), reducing planned build cost from $1.2M to $200K through AI-driven cost optimization, demonstrating full-stack builder capability from design to deployment.

• Executed the Product road mapping for the grocery E-commerce platform hosted on AWS in B2B and B2C environment from conceptualization to live

• Collaborated with engineering, sales, and marketing teams considering scope, requirements and budget spearheaded the product development team scrum

• Planned and implemented A/B experiments for the B2C website to improve the ‘checkout’ conversion funnel drop-ins, resulting in a reduction in churn

rate by 10 % and improved ‘add-to-cart funnel by 16 % in the following quarter adding 1M USD additional revenue

• Spearheaded the Machine Language recommendation system used for data analysis of product pricing and customer shopping behavior which helped

improved Customer Lifetime Value by 32% annually.

• Administered market research and created Google Analytics dashboard (later updated to MixPanel) to identify product features that correlated with

customer attrition, leading to proactive interventions that reduced monthly churn by 4%