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Harsh-Sharma29/README.md

👋 Hi, I'm Harsh Sharma

AI Engineer | Backend & Agentic AI

I build AI-powered backend systems, multi-agent applications, and production-oriented software using Python, FastAPI, LangGraph, RAG, and modern cloud-native technologies.

I'm particularly interested in Agentic AI, LLM systems, backend architecture, retrieval systems, and autonomous software engineering.


🚀 Featured Projects

🤖 AgenticFlow — Multi-Agent AI Service Mesh

A stateful multi-agent AI orchestration platform that dynamically routes user intents across specialized RAG, SQL, Web Research, Code Execution, and conversational workflows.

Core Engineering

  • LangGraph-based stateful orchestration and deterministic intent routing
  • Hybrid retrieval using PostgreSQL + pgvector and Memgraph
  • Asynchronous FastAPI backend with SSE-based response streaming
  • JWT authentication, guest isolation, and per-user/workspace data isolation
  • Containerized architecture using Docker, Docker Compose, and NGINX
  • Deployed on AWS EC2

Tech: Python · FastAPI · LangGraph · RAG · PostgreSQL · pgvector · Memgraph · Docker · Next.js

🔗 Repository
🌐 Live Demo


⚙️ AutoForge — Autonomous AI Software Engineer

An autonomous multi-agent software engineering system that plans, generates, validates, executes, debugs, and self-heals Python code through a closed-loop workflow.

Core Engineering

  • LangGraph-based multi-agent orchestration with a ReAct execution loop
  • Multi-provider LLM orchestration across Groq, OpenAI, Gemini, and Claude
  • AST-based static validation for configured unsafe operations
  • Ephemeral Docker sandboxing with resource limits and execution timeouts
  • Traceback-driven Debugger agent for autonomous code repair
  • Real-time IDE with PostgreSQL state persistence and streaming execution logs
  • GitHub and Tavily integrations with deterministic intent routing

Tech: Python · LangGraph · FastAPI · Next.js · Docker · PostgreSQL · ReAct · Multi-Agent Systems

🔗 Repository


🧠 Core Focus

  • Agentic AI & LLM Systems
  • Multi-Agent Orchestration
  • Retrieval-Augmented Generation (RAG)
  • Backend Engineering & API Architecture
  • Distributed & Asynchronous Systems
  • AI Infrastructure & Developer Tools

🛠️ Tech Stack

AI & LLM

LangGraph LangChain CrewAI RAG Agentic AI Prompt Engineering

Backend

Python FastAPI REST APIs Pydantic SQLAlchemy Celery AsyncIO

Data & Retrieval

PostgreSQL pgvector Memgraph FAISS Milvus MySQL

Frontend

Next.js React.js JavaScript

Infrastructure

Docker Docker Compose AWS EC2 Redis MinIO NGINX

Engineering

C++ SQL Git GitHub Postman


🎯 What I Like Building

I enjoy working on systems where AI meets software engineering—from orchestrating multiple specialized agents and building retrieval pipelines to designing secure execution environments and asynchronous backend workflows.

My focus is on building systems that are modular, observable, reliable, and practical to deploy.


📫 Connect With Me

Pinned Loading

  1. AgenticFlow AgenticFlow Public

    Production-grade multi-agent AI orchestration platform built with FastAPI, LangGraph & Next.js. Features autonomous routing across specialized RAG, SQL, Research & Code agents, hybrid vector + grap…

    Python 1

  2. AI-Resume-Analyzer AI-Resume-Analyzer Public

    🤖 AI-powered ATS resume screening platform built with Python, spaCy (NER), and Streamlit to benchmark profiles using Cosine Similarity.

    Python

  3. HARSH-PORTFOLIO- HARSH-PORTFOLIO- Public

    ✨ Modern, production-grade developer portfolio showcasing my engineering journey, full-stack architecture, and Generative AI systems.

    JavaScript

  4. Harsh-Sharma29 Harsh-Sharma29 Public

    ✨ Personal GitHub profile README showcasing my tech stack, projects, and engineering journey.

  5. TravaCasa TravaCasa Public

    ✈️ Full-stack AI-driven travel & booking platform built with MERN stack, integrating LLaMA and LangChain for smart itinerary orchestration & secure Stripe payments.

    JavaScript