Hi there, I'm Himanshu Lade 👋
Full-Stack Engineer | AI & DevOps | Building Production-Ready Tools
I’m early in my career, but I’ve had hands-on exposure to full-stack development, AI integrations, and DevOps workflows. I’ve worked as a sole engineer on small systems, handled production incidents, and built tools to reduce repeat mistakes rather than just patching symptoms.
I’m still learning, but I care deeply about reliability, clarity, and shipping things that actually work. My work is my craft. Here are the highlights.
📌 Pinned Projects
| Project | Description | Key Technologies |
|---|---|---|
| 🤖 codeflow-hook: AI Code Review Platform | An open-source npm package with 500+ First week downloads. It's a multi-agent AI system using RAG for context-aware code analysis, integrated directly into the Git workflow as a pre-commit hook. | Node.js, TypeScript, Gemini API, RAG, Vector Embeddings, Git Hooks |
| 🔥 Mission-Critical System Recovery & Overhaul | As the sole engineer, I led a complete system recovery, restoring 100% of critical data after a production outage. I also re-architected the frontend, improving site performance by 88% (25s to <3s). | Full-Stack, Nginx, Incident Response, Performance Tuning |
| 📈 ReliBoard: Full-Stack PM Application | A production-ready, enterprise-grade project management application. Features JWT-based auth with Role-Based Access Control (RBAC), a full test suite with 85%+ coverage, and is fully containerized with Docker. | React, Node.js, TypeScript, MongoDB, Docker, JWT, Jest |
| 💬 Interactive Portfolio & AI Chatbot | An interactive AI chatbot preview built into my portfolio website, demonstrating a RAG system for context-aware career advice. It leverages a 47-page knowledge base which can be embeded with Google Gemini API. | Next.js, React 19, TypeScript, Gemini API, RAG, Vector Embeddings, Local Storage |
🛠️ My Tech Stack
Languages & Frameworks:
AI, Cloud & DevOps:
📫 Let's Connect
I'm actively seeking new opportunities and am always open to connecting with fellow builders.