Lead architecture and engineering delivery for AI-powered products serving 100K+ users across 5 global pharma clients — Novartis, Gilead Sciences, Merck, Arcutis Biotherapeutics, and Stemline Therapeutics. Products shipped: intelligent copilots, RAG-based assistants, live dashboards, and adaptive UIs — from discovery and architecture through to production.

• Architecture & Technical Leadership: Architected Next.js micro-frontend platform serving 100K+ users; reduced bundle size by 42% and improved LCP from 3.2s → 1.8s via code-splitting, lazy loading, and asset optimization. Designed RAG-based AI copilot architecture with streaming response patterns and token optimization; reduced AI inference costs by 35% while maintaining sub-2s response times. Led React 18 migration; introduced React Query + Zustand for scalable state management across all products. Act as primary technical point of contact for client architecture reviews and solution design across verticals.
• Team Leadership & Growth: Scaled frontend engineering team from 3 → 10 engineers; established career growth frameworks, structured 1:1s, and technical onboarding playbooks. Built and managed hiring pipeline — interviewed 50+ candidates, achieved 90%+ team retention over 2 years. Drove code review culture, ownership mindset, and psychological safety across the team.
• Delivery & Business Impact: Launched AI copilot reducing customer support tickets by 35% within 90 days of release. Improved developer productivity by 40% via automation tooling (ESLint, Prettier, Husky, regression pipelines). Achieved 85%+ test coverage; reduced production incidents by 60%. Led cross-functional delivery across Product, Design, Backend, and ML — shipped 2 major releases ahead of schedule.