I aggressively leverage AI, Python, and Docker to ship products faster than traditional engineers.
I don't just write code; I build autonomous systems that write code for me.
- 🛠️ Building AI Agents: Architecting LLM-powered swarms that debug production code and automate workflows (e.g.,
autofixer-agent). - ☁️ Cloud & Infrastructure: Dockerizing applications, setting up CI/CD pipelines, and managing high-performance deployments.
- ⚡ Full-Stack Development: Shipping dynamic web apps using modern frameworks (Next.js, React) with robust backend architectures (Go, Python, PostgreSQL).
- 🔐 DevSecOps: Building environment security guards and ensuring safe, scalable LLM orchestration.
- Actively contributing to UXTU4Linux (System automation & tuning).
- Exploring Multi-Agent AI systems with Waggle.
| Category | Technologies |
|---|---|
| Core Languages | Python, TypeScript, Go, JavaScript, PowerShell |
| Frontend | React, Next.js, HTML5/CSS3 (Tailwind) |
| Backend & APIs | FastAPI, Node.js, GraphQL, REST |
| AI & LLMs | OpenAI, Google Gemini, Model Context Protocol (MCP), HuggingFace |
| DevOps & Cloud | Docker, GitHub Actions, Linux/Bash, AWS, GCP |
- 🤖 AutoFixer-Agent: An autonomous AI agent that watches production logs, identifies stack traces, generates code fixes, and automatically opens Pull Requests.
- ⚖️ Nyay-Setu-Working: A microservices-based architecture for digitizing judicial processes using NLP and distributed orchestration.
- 🛡️ Env-Secure-Guard: Security tooling for safe credential handling and environment validation in autonomous agent setups.
- 🔌 MCP-Quickstart: Boilerplate and architecture reference for building high-speed Model Context Protocol servers in Python.
(Ping me for AI, hacking, or cool projects!)