I'm a Machine Learning Engineer at Meta in London. Kaggle Competition Master and Notebook Grandmaster (former #1 global notebook ranking). Google Developer Expert.
I'm an economist by education, and I moved into ML in 2017. Since then, I've worked on churn, fraud, recommendations, video super-resolution, chat-bots, and ads at scale across telecom, banking, medical AI, ride-hailing, and big tech.
- π Personal site: andlukyane.com β bio, blog, projects.
- π ML notes (Obsidian vault): dswok.com
- π€ Talks & interviews: andlukyane.com/activities#featured-talks
- π Older portfolio (2017-2021): erlemar.github.io β Kaggle kernels & pet projects.
- Book Review: 50 ML Projects to Understand LLMs
- Gamma-World: Simplex Agent Encoding and Hub Attention for Multi-Agent World Models
- Testing MiniMax M2.7 via API on three real ML and coding workflows
- DeepSeek-V4 Review: Why Million-Token Context Needs Efficient Attention, Not Just Larger Windows
- FIPO: Teaching LLMs Which Thoughts Actually Matter




