I build agentic AI systems, RAG pipelines, and graph-native architectures. Upcoming Software Engineer at GlobalLogic, with a B.Tech in Information Technology from NIT Jalandhar.
- π§ Deep interest in agentic AI, RAG systems, and knowledge-graph-driven architectures
- π Currently sharpening system design / HLD
- π§© 1000+ problems solved on LeetCode β strong DSA foundation
- π« Reach me: LinkedIn Β· Email
π§ CareerGraph.AI
GraphRAG-powered career networking platform. Multi-agent orchestration with LangGraph, Neo4j-backed knowledge graph, async scraping pipeline (Celery + Redis + Playwright), and a WebGL "Connected Papers"-style graph UI built with Sigma.js and Next.js.
Neo4j LangGraph FastAPI Celery Sigma.js Next.js
A Tinder-style swipe interface for building daily workout plans β swipe through exercises to build a personalized routine, backed by offline-first storage.
React Vite TypeScript Tailwind IndexedDB
A multimodal RAG system combining speech, retrieval, and generation, optimized to run on low-resource EC2 instances.
Whisper FAISS LLaMA 3.3 Groq
A full-stack fitness app deployed on AWS β self-discovered and patched an S3 security misconfiguration before it shipped.
Spring Boot Docker AWS CloudFront