I build AI products that actually ship, not just demos. I’m a third-year B.Tech CSE (Data Science & AI) student at NMIMS Hyderabad, Secretary of the CodeIt club, and Co-Head of the Algorand Bharat × NMIMS Club. Previously, I was Secretary of the SnT E-Cell at IIT Mandi. I work across the full stack: I design the system, build the FastAPI backend, and ship the React/Next.js frontend myself. Most of my time goes into the GenAI application layer: RAG pipelines, multi-agent systems with LangGraph, tool-calling, and memory systems. I also run a service company building apps and websites for clients, and I take features from architecture to production.
AI Engineering Trainee
IIT Mandi
- I built RAG and multi-agent pipelines over documents and tabular data, and used guardrails and LLM evaluations to keep the outputs reliable. I earned an IIT Mandi certification for it.
Generative AI & Testing Support (Freelance)
RAG-based ERP Product
- I worked on generative AI features for a live ERP product, including retrieval over internal business documents so users could ask questions in plain language. I tested the data flows and AI responses with the testing team, and logged defects when the results didn’t match what was expected.
Mandate: Agentic Commerce Negotiation Platform
A simulated marketplace where one buyer agent negotiates against multiple seller agents to find the best deal, using a custom Intent/Cart/Payment mandate protocol. Every step is logged in a hash-chained audit trail with a cart-hash lock before payment, and I demoed a live tamper-and-reject scenario to prove it. Built solo in a round-the-clock sprint for the Razorpay hackathon
PRAMANA: AI Digital Twin for UAV Engine Health
A real-time digital twin for DRDO’s problem statement on aero piston engines in MALE UAVs. It models engine health as the disagreement between redundant estimates of the same quantity from simulated telemetry (temperature, RPM, fuel flow, vibration). I owned the frontend end to end, including a live 3D engine visualization that judges called out as a demo highlight. Won the internal Smart India Hackathon selection, so the team now represents NMIMS Hyderabad at the main SIH 2026
Vela: Medical Assistance App for Indian Hospitals
An assistant that answers patient and staff questions from hospital documents using a RAG pipeline. I structured, chunked and indexed the source documents so every answer points to the correct source, which cuts manual lookup time
: Bachelor of Technology (B.Tech), Computer Science & Engineering (Data Science & AI)
Narsee Monjee Institute of Management Studies (NMIMS), Hyderabad Campus
Certified AI / Agentic AI Engineer
Indian Institute of Technology (IIT) Mandi
Jul 2026AWS Certification, Machine Learning
Amazon Web Services (AWS)
May 2026Data Analytics Job Simulation
Deloitte Australia (via Forage)
Feb 2026Data Science Job Simulation
British Airways (via Forage)
Mar 2026
Attendee · Oct 24, 2026