Systems-oriented backend & infrastructure engineer with 9.6 CGPA at SRM Chennai. Built Prakshat — a distributed AI air quality forecasting platform and SIH 2025 National Finalist — and Reach, an AI harness CRM with a type-safe, Zod-validated query layer.
Built backend systems for mentor–student networking and progress tracking using Node.js and PostgreSQL, structuring the data model for efficient reads and scalable performance. Implemented role-based access control (RBAC) so mentor and student roles are routed to separate dashboards and API endpoints.
Provisioned Azure infrastructure with Terraform and deployed the API backend, database, and ML forecasting service with Docker, monitored by Prometheus & Grafana. Built an API gateway with API key auth and per-request credit usage tracking, and integrated Razorpay with signature-verified payments.
A harness agent that turns a marketer's campaign goal into a targeted audience, personalized messages, and a channel recommendation for one-click launch. Agent queries are constrained to a Zod-schema DSL, eliminating the risk of unsafe or malformed SQL, and every query is scoped to the logged-in company for multi-tenant isolation.
Selected as 2nd Runner-Up out of 96,000+ developers nationwide in the AI For Bharat hackathon powered by AWS.
National Finalist — Top teams out of 50,000+ registrations
9.6 CGPA @ SRM Institute of Science and Technology
100+ LeetCode problems — Arrays, Trees, DP, Stacks
Always interested in new opportunities, collaborations, and conversations about backend systems and scalable design.