I build AI systems and the backend infrastructure that runs them — LLM pipelines, RAG, agents & distributed services.
I’m an AI & ML undergrad at Dayananda Sagar College of Engineering, Bengaluru — class of 2027.
My work lives where backend engineering meets applied AI: agentic workflows, retrieval pipelines, and the distributed systems that serve them at scale. I care about throughput, reliability and clean boundaries as much as the model on top.
An AI-based feedback system used by students and faculty. Built a RAG-based analytics microservice on FAISS & Ollama for automated insights, with containerised dashboards via Docker Compose — fully local, no data leaving the box.
Go-based webhook listeners and gRPC microservices for scalable processing — automated PR analysis & release-note generation with real-time commit and release dashboards.
AI-driven interview platform on agentic workflows for scoring & reporting — an end-to-end pipeline from ATS screening through interview conduction to evaluation.
HacktoCrack — Healthcare Domain
Docathon — Cellstrat
AI-Verse — Amrita
Recurzive 2.0 — DSCE
Dev-Duel — IIT Hyderabad
Nexus 2.0 — PES University
HackNocturne — SMVIT
Hackademia — National College