About
Full-stack engineer who likes turning messy problems into reusable systems.
I'm a product-focused full-stack engineer with 3.5+ years building scalable SaaS and healthcare platforms at Docquity, which serves healthcare professionals, patients, and pharma stakeholders across multiple countries. I work across the stack — Angular and React/Next.js on the front, Java/Spring Boot and Node.js on the back.
A theme runs through my work: I like building things once, configurably, so a team can reuse them instead of rebuilding. That's how a legacy Patient Assistance Program became a metadata-driven form engine serving tens of thousands of patients, how onboarding became an installable npm package, and how a pile of one-off surveys became a single configurable platform. When the data calls for it, I'm happy to reach past the relational default — modeling healthcare-professional relationships in Neo4j for reusable, graph-based audience targeting.
I care about end-to-end ownership and the parts users never see: RBAC and secure multi-role access, caching, clean service boundaries, and leaving a codebase easier to extend than I found it.
Languages
Backend
Frontend
Databases & Caching
Cloud & DevOps
Architecture & Concepts
Experience
All case studiesSoftware Development Engineer · Docquity
Jan 2023 — Present · GurugramBuilding scalable healthcare platforms end to end — configurable form engines, onboarding, and microservices — for pharma clients across multiple countries.
Patient Assistance Program (PAP) Platform
Led the frontend modernization of a multi-tenant healthcare platform serving 20+ pharma clients and 30k–45k patients — built on a metadata-driven dynamic form engine with full role-based access control.
Configurable Onboarding & Authentication Platform
A reusable onboarding and auth platform — shipped as an npm package — used across 4 Angular apps and 15–20 pharma clients, cutting onboarding configuration turnaround from release cycles to 5–10 minutes.
Survey, CME Quiz & Poll Platform
Configurable Survey, CME Quiz, and Poll modules with a dynamic form engine supporting 12+ question types, conditional logic, and CME scoring — backed by a PostgreSQL + MongoDB data model.
HCP Groups & Content Targeting
A reusable audience segmentation platform for healthcare professionals — defining targetable groups across surveys, CMEs, polls, and webinars — built during a migration from a MySQL monolith to Neo4j-powered microservices.
Projects
All projectsWriting
All postsEducation
Birla Institute of Technology, Mesra
B.Tech, Information Technology