I'm Tanvir Rahman, an AI/ML Developer from Bangladesh who enjoys taking messy, real-world problems and shaping them into clean, intelligent systems that actually run in production.
I care less about building things that look smart and more about building things that work reliably — well-tested pipelines, agents that fail gracefully, and code other people can read six months later.
Focus → Machine Learning · Deep Learning · AI Agents · RAG
Mindset → Ship small, measure, iterate, document
Goal → Build AI systems that are useful, reliable, and maintainable
- 🔭 Building — AI agents, RAG systems, and end-to-end ML pipelines
- 🌱 Learning — MLOps, LangGraph, and agentic AI workflows
- 🤝 Open to — AI/ML roles, internships, freelance work, and collaborations
- 📫 Reach me — tanvirrahmanaz@gmail.com
| Area | What it means in practice |
|---|---|
| Machine Learning | Framing problems, training models, and evaluating them honestly |
| Deep Learning | Working with neural networks for vision and language tasks |
| AI Agents & RAG | Connecting LLMs to real data with retrieval and tool use |
| Automation | Turning repetitive workflows into reliable Python pipelines |
Languages
AI / Machine Learning
Data & Tools
Live demos and detailed write-ups are on the way. Here's the format each project will follow:
|
One line on the problem it solves and the result it delivered. Stack: Python · PyTorch · LangChain |
One line on the problem it solves and the result it delivered. Stack: Python · TensorFlow · RAG |
- Ship and document 3 portfolio projects with live demos
- Deploy an end-to-end ML pipeline with monitoring (MLOps)
- Build a production-grade agentic AI system with LangGraph
- Make consistent open-source contributions
- Write technical notes on what I learn along the way
"Make it work, make it right, make it fast — in that order."
