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class Santhosh:
role = "AI / ML Engineer"
focus = ["Agentic AI", "MLOps", "Microservices"]
currently = "Building deepfake-agentic-ai 🕵️"
stack = ["FastAPI", "LangGraph", "Docker", "PostgreSQL"]
approach = "Ship → Learn → Iterate"
mantra = "Make it work. Make it right. Make it fast."- 🔭 Working on deepfake-agentic-ai — CV + DL powered deepfake detection microservices pipeline
- 🧠 Exploring LangGraph agents, RetinaFace + Xception & agentic reasoning
- ⚙️ Passionate about CI/CD, Docker, and automating everything
- 📬 Open to collaborating on AI-driven tools that solve real problems
Languages
AI / ML
Infrastructure & DevOps
| Project | What it does | Stack |
|---|---|---|
| 🕵️ deepfake-agentic-ai | Microservices pipeline for AI-powered deepfake detection using CV + DL. Full api → agents → ml → agents → api → db flow with LangGraph orchestration |
Python FastAPI LangGraph Docker PostgreSQL ChromaDB |
| 💬 talk2care | Voice-first healthcare chat app with real-time speech recognition and Spring Boot backend | Java Spring Boot Web Speech API Thymeleaf |
| 📄 doc2site | Markdown → static site generator with incremental builds, dark mode toggle, search, and auto-deploy via GitHub Actions | JavaScript Node.js GitHub Actions GitHub Pages |
