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hbhangale3/README.md

Hi, I'm Harshwardhan Bhangale 👋

Software Engineer | AI/RAG Developer | Full-Stack Developer | Cloud & Telco Infrastructure Engineer


About Me

I am a Software Engineer and Computer Engineering graduate student at San Jose State University, focused on building full-stack applications, AI-powered systems, RAG pipelines, and scalable cloud-native infrastructure.

I have professional experience in telecom cloud deployments, OpenStack-based infrastructure, automation, and production support for large-scale 4G/5G systems. Recently, I have been building AI-integrated applications using FastAPI, Streamlit, LangChain, LlamaIndex, ChromaDB, Groq, CrewAI, and modern full-stack technologies.


Core Skills

AI, RAG & LLM Applications

Full-Stack Development

Programming Languages

Databases & Storage

Cloud, DevOps & Infrastructure


Featured Projects

AstraRAG — AI-Powered Study Buddy & Document Intelligence Platform

A full-stack RAG-based study assistant that allows users to upload documents, chat with notes, generate quizzes, and manage learning workflows.

Tech Stack: FastAPI, Streamlit, LangChain, LlamaIndex, ChromaDB, Groq, Docker, Prometheus, Grafana

  • Per-user document upload and isolated vector storage
  • Chat with notes using RAG-based retrieval
  • Quiz generation from uploaded documents
  • Authentication and user-specific sessions
  • Observability using Prometheus and Grafana

View Repository


NHIS Dataset Research Assistant

An AI-powered research assistant for federal health datasets, designed to help researchers query codebooks, understand variables, and plan statistical analysis workflows.

Tech Stack: FastAPI, Streamlit, RAG, ChromaDB, Groq, Python, PDF/CSV ingestion

  • Codebook-aware retrieval for NHIS-style datasets
  • Research question interpretation
  • Variable discovery and dataset explanation
  • Agentic pipeline for documentation and CSV analysis

View Repository


NomadHaven

An Airbnb-like rental platform with property CRUD, image management, secure authentication, booking flows, and payment integration.

Tech Stack: Next.js 14, TypeScript, Prisma, Supabase, Clerk, Stripe, Tailwind CSS, shadcn/ui

View Repository


NetLingo — LLM-Powered Network Intrusion Detection

A protocol-aware intrusion detection system that treats network traffic as natural language and uses ML + LLM-based reasoning for threat detection and explainability.

Tech Stack: Python, FAISS, Gemini API, RAG, Random Forest, LoRA/QLoRA, Network Security Datasets

View Repository


Professional Background

Red Hat

Worked on cloud-native telecom infrastructure, automation, Kubernetes-based workflows, OpenStack systems, and CI/CD delivery for distributed cloud platforms.

Nokia Solutions & Networks

Led and supported OpenStack-based Telco Cloud deployments across multi-site 4G/5G infrastructure, working with Nova, Neutron, Cinder, Glance, Ceph, MariaDB, HAProxy, and operational automation.


GitHub Stats


Currently Focused On

  • Building production-style AI/RAG applications
  • Strengthening full-stack development with React, Next.js, Node.js, FastAPI, and Spring Boot
  • Improving DSA and system design fundamentals
  • Deploying AI applications with Docker, Kubernetes, CI/CD, and cloud platforms

Connect With Me

PortfolioLinkedInEmailGitHub

Pinned Loading

  1. YelpCamp YelpCamp Public

    A full-stack web application built with Node.js, Express.js, and MongoDB Atlas, allowing users to create, edit, and review campgrounds. It uses EJS for server-side rendering, Bootstrap for styling,…

    JavaScript

  2. NomadHaven NomadHaven Public

    Airbnb-like rental platform built with Next.js 14, TypeScript, Supabase, Clerk, and Stripe. Features property CRUD, image uploads, booking, payments, and admin stats dashboard.

    TypeScript 1

  3. SVCC2025-Applied-LLM-Challenge SVCC2025-Applied-LLM-Challenge Public

    The repository contains our work on studying and implementing a Smart Network Intrusion detection system, which incorporates various technologies such as use of Machine Learning, LLM(Large Language…

    Jupyter Notebook 1

  4. AI-Multi-Agent-Stock-Trading-Assistant-using-CrewAI AI-Multi-Agent-Stock-Trading-Assistant-using-CrewAI Public

    This project demonstrates how to build a Multi-Agent AI System using CrewAI, OpenAI, and Yahoo Finance.

    Python

  5. AllyVision-Web AllyVision-Web Public

    AllyVision is an AI-powered accessibility assistant for the web, built as a Chrome extension with a dedicated developer workspace. It improves image accessibility by analyzing both the image itself…

    TypeScript

  6. Astra-RAG-Chatbot Astra-RAG-Chatbot Public

    Full-stack Agentic RAG Study Buddy AI featuring document ingestion, ChromaDB retrieval, source-grounded chat, quiz generation, FastAPI/Streamlit UI, Prometheus/Grafana observability, Jenkins CI, an…

    Python