Data, models & applied AI, distilled into useful references.
I'm Omar — a data scientist and ML engineer with 26+ years across credit, telecom and EDA. This site is where I keep my cheatsheets and field notes on machine learning, LLMs, agents and the tools I actually use.
Two libraries, one mission
Quick references for fast lookup, long-form articles for deeper understanding.
Cheatsheets
Concise reference guides for the tools and libraries that show up in real data-science and ML work. Skim them, bookmark them, print them.
Browse cheatsheets →Blog & Articles
In-depth articles, capability tours and field notes on emerging AI models and tooling — things I learned from actually running them, not just reading about them.
Read the blog →Latest from the site
A few of the newest entries from both libraries.
🌳 Bonsai-Image-4B — a 1.58-bit text-to-image model on a single RTX 4090
PrismML's ternary, 4-step image model: ~5 GB VRAM and sub-second warm renders on a 4090, with a seven-aspect-ratio gallery and ten style presets.
Article · May 2026⚡ Doubling Qwopus 3.6 on a single RTX 4090 — Multi-Token Prediction with llama.cpp
~1.98× average speedup (peak 2.21×) on Qwopus 3.6-27B-MTP. Why Ollama refused to load it, and the working llama.cpp install path end-to-end.
Cheatsheet · New📊 bupaR — Business Process Analytics in R
Event logs, process maps, performance metrics, filtering, and the bupaverse ecosystem in one quick reference.
Cheatsheet🤖 OpenAI Agents SDK
Core concepts, agent creation, tools, guardrails, handoffs, and tracing for building AI agent applications.
About me
I'm a seasoned data scientist and ML engineer with 26+ years of experience. I've contributed to Tribal Credit, Reveel, TA Telecom, Mentor Graphics and IBM — across AI-driven underwriting, algorithm development, analytics and software-testing leadership.
I write and build around: