I build production-grade RAG and agentic AI systems and ship them behind full-stack web applications — not research demos, working products with real auth, real pipelines, and real users in mind.
Currently a Graduate Engineer Trainee at Reliance Industries, and building PersonaShift, an AI-powered interview and career-simulation platform, in my own time.
-
PersonaShift — AI Interview & Career Simulation Platform (Ongoing) Full-stack platform with real-time transcript streaming, adaptive interviewer personas, and an asynchronous ATS resume-parsing pipeline (BullMQ, Redis, local transformer embeddings) behind OAuth 2.0 + JWT auth.
-
GraphRAG — Movie Query System Production-grade hybrid retrieval system combining Neo4j graph traversal with Pinecone vector search and Gemini tool-calling, built for entity disambiguation at scale.
-
Amazon ML Challenge 2025 — Top 1% Multimodal pricing model fusing text embeddings with CLIP/ResNet50 image features across a 700+ feature pipeline, cutting SMAPE from a 61–66% baseline to 35–45%.
-
CodeBulb — AI Copilot for VS Code VS Code extension with a dual-engine architecture (Gemini 2.5 + DeepSeek V3) and autonomous Node.js agents that scaffold projects and patch errors via shell commands.
-
Reliance Industries — Predictive Maintenance Pipeline Python pipeline processing six months of industrial sensor data, with feature-extraction workflows validated against engineering simulations.
Python |
JavaScript |
TypeScript |
C++ |
PostgreSQL |
MySQL |
React.js |
Node.js |
Express.js |
PyTorch |
TensorFlow |
OpenCV |
Git |
Docker |
Linux/Bash |
Streamlit |
Postman |
Pandas |
