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RAJTripathi3030/README.md

About Me

I'm Raj Tripathi, a Computer Science Engineer with a focus on systems-level programming, AI infrastructure, and full-stack development. My work spans across multiple layers of the stack — from low-level C data structures to distributed multi-agent LLM pipelines.

My technical interests lie at the intersection of:

  • AI & LLM Engineering — Building multi-agent systems using LangChain, LangGraph, and RAG pipelines; fine-tuning models with LoRA and knowledge distillation; designing evaluation and observability frameworks for agentic workflows
  • Systems Programming — Implementing core data structures (vectors, hash tables, stacks) from scratch in C, with a focus on memory safety, pointer semantics, and low-level performance optimization
  • Full-Stack Engineering — Architecting secure, scalable applications on the MERN stack with JWT auth (refresh rotation, HttpOnly cookies), RBAC, NoSQL injection prevention, and sub-150ms API response targets
  • MLOps & Infrastructure — End-to-end ML lifecycle management, TensorFlow/PyTorch model deployment, Docker, Kubernetes, CI/CD pipelines, and AWS

Languages: Python · C/C++ · JavaScript/TypeScript · Java · SQL
AI Stack: LLMs · Transformers · LangGraph · RAG · LoRA · Fine-tuning · NLP
Web Stack: MERN · RESTful APIs · DevSecOps
Infra: Docker · Kubernetes · AWS · CI/CD · Git

I also write about generative AI and computer systems on Medium and LinkedIn — breaking down technical concepts for engineers who want to go beyond the surface.

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    Jupyter Notebook

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