About Me
I build things with AI and break stuff on the way. This is my space to share knowledge, explore cutting-edge research, and build with the community.
My Journey
I didn’t just get into AI to read papers - I wanted to build things that work.
What started as weekend tinkering quickly turned into a full-time obsession with LLMs, MLOps, vector search, and making complex systems simpler through real-world workflows.
Along the way, I’ve broken a lot of stuff. I’ve also learned how to ship working pipelines, debug black-box models, and make sense of the chaos we call machine learning. Now I share it all here the code, the wins, the breakdowns, and the breakthroughs so other builders can ship faster.
AI Engineering
Building smart systems that ship. From RAG pipelines to fine-tuning.
Practical over Perfect
Production-ready code > theoretical elegance. Shipping matters.
Research
Decoding papers and translating math into implementation.
Skills & Expertise
The technical stack powering my work
AI Engineering
Inferencing, Agent Frameworks, Workflows
Machine Learning
Designing Pipelines, Feature Eng, Evaluation Flows
Languages
Python, C#, Javascript
Tools
Docker, Git, Jupyter, VS Code
Databases
PostgreSQL, MongoDB, Redis, Vector DBs
Cloud
Azure, AWS