I explain AI research by deriving the math from the ground up, build autonomous agent workflows, and write detailed blogs on the machine learning projects I create. I also teach hands-on courses, and package finished AI products and tools you can buy.
What you'll find here
From first-principles math and agent architectures to real project blogs and production assets.
Paper dissections & math
Deriving research math from the ground up, equation by equation.
Autonomous agents
Building LLM workflows, multi-agent loops, and tool-calling systems.
ML project breakdowns
Detailed blogs on how I build, train, and ship real ML systems.
Finished tools & courses
Hands-on courses I teach, plus production tools you can buy and use.
In-depth write-ups on the machine learning systems I build, paper math derived from scratch, and guides on autonomous agents.
You've seen MCP servers mentioned in AI tool docs. You've wondered how Claude actually calls external functions. This is the guide that explains both — and by the end of this series you'll have a running, production-ready MCP server connected to Claude Desktop, built in Python.
An end-to-end edge device ML classification model
Courses
Practical courses I teach covering the math behind the models, building autonomous agent workflows, and shipping real AI systems.
Case Studies
Technical write-ups and case studies: from raw research and model training to containerized cloud deployment and real performance.
AI/ML · In Progress
A multi-model AI life coach agent built with LangGraph that understands your voice, sees your images, and speaks back to you. Powered by open-source models Llama 3.3, Whisper and SD XL.
Python · Chainlit · LangGraph · Git · Langchain
Products & Tools
Finished tools, starter kits, and full-stack AI applications I've built and packaged. Buy the asset, inspect the code, and run it in your own environment.
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