Things I have designed and built.
Training small language models (75M-500M params) from scratch on a single consumer GPU — a hands-on exploration of transformer training, scaling behavior, and what's actually achievable without a GPU cluster.
A machine learning system for automatically classifying inbound business leads, achieving approximately 89% classification accuracy — an end-to-end ML prototype that automated a workflow previously handled manually by multiple team members.
