Deepak Kumar
Engineering Leader | Front-end Architect | Driving AI-Powered Product Engineering | Scaling Web Platforms & High-Performing Teams | xCashfree Payments
- Role
- Assistant Engineering Manager at Chryselys
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Deepak Kumar
I\'m an engineering leader over a decade of progressive experience building and scaling high-performance web applications, from individual contributor to team leadership. Currently at Chryselys, I lead frontend engineering for our AI division, managing products like intelligent copilots, chatbots,AI powered Web applications and Dashboards, and adaptive UIs that serve pharma Industry, i\'ve built highly scalable solutions for customers like Novartis, Stemline, Arcutis Biotherapeutics,Gilead Science. As an Engineering Manager, I deliver across three core areas: Team Leadership & GrowthManage 5-8 frontend engineers; mentored 5 engineers into new rolesHelp and Built hiring pipeline, interviewed 50+ candidates, achieved 90%+ retention rateEstablished code review culture, technical onboarding playbooks, and career growth frameworksFoster psychological safety and ownership mindset across the team Technical Strategy & ArchitectureDesigned Next.js micro-frontend architecture serving 100K+ users; reduced bundle size 42%Led migration to React 18 + performance optimization (LCP 3.2s → 1.8s)Drove adoption of modern tooling: React Query, RTK, Zustand, NextAuth, ESLint + CI/CD pipelinesArchitected real-time AI copilot UI patterns; collaborated with ML team on LLM optimization Business ImpactShipped AI copilot features reducing support tickets by 35%Led cross-functional alignment (Product ↔ Design ↔ Backend ↔ ML); shipped 2 releases ahead of scheduleImplemented quality standards (85%+ test coverage, 60% reduction in production incidents)Scaled team velocity: 3 engineers → 8 engineers with no burnout or turnoverMy Philosophy:Engineering management isn\'t about command-and-control—it\'s about removing blockers, creating clarity, and building a system where engineers can deliver their best work. I care deeply about hiring great people, growing them, and shipping products that matter.What I\'m Looking For:Engineering Manager roles at product-driven companies building AI-first or intelligence-augmented platforms. I want to lead a team, stay hands-on with architecture decisions, and grow both the business and the people.
Experience
Assistant Engineering Manager
Apr 2024 — Present · Hyderabad, IN
Lead Web Application architecture and engineering team for AI-powered intelligent products (copilots, chatbots, adaptive UIs) serving pharma leading companies like Novartis, Stemline, Merck, Arcutis Biotherapeutics, Gilead Science etc.AI Product & Engineering Leadership — HighlightsEnd-to-End Product Ownership : Lead full product development lifecycle for AI-powered copilots, chatbots, and adaptive UIs — from discovery and requirements to delivery, release planning, and post-launch improvements.Own cross-functional alignment across Product, Design, Backend, ML, and Customer Success.System Design & Architecture for AI Products :Architect Next.js micro-frontend platform powering real-time AI copilots used by 100K+ users across major pharma clients (Novartis, Merck, Gilead, Arcutis, Stemline).Designed scalable AI interaction layer including RAG-based search, token optimization, streaming responses, and real-time context sync.Project & Team Leadership :Drive sprint planning, delivery timelines, and risk management — shipped 2 major releases ahead of schedule.Lead and mentor high-performing engineering team; achieved 90%+ retention, built onboarding playbooks, and implemented structured code reviews & 1:1 growth plans.Performance & Engineering Excellence:Reduced bundle size 42% and improved LCP 3.2s → 1.8s.Achieved 85%+ test coverage, cutting production incidents 60%.Led migration to React 18 and introduced React Query + Zustand for predictable state management.Product & Business Impact:Launched AI copilot (Mar 2024) reducing support tickets 35% and increasing customer adoption.Collaborated with ML team to optimize token usage 35% via smart context retrieval and caching.Introduced developer automation (ESLint, Prettier, Husky, regression suites) reducing PR cycle time 40% and boosting deployment confidence.
Education
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology, Computer Science
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