I’m a theoretical linguist turned developer. I learned how to code through studying artificial intelligence books. I’ve built production-deployed classifiers, data pipelines, and custom machine learning infrastructure from scratch. I’ve spent my 12 year career in fast-moving companies increasing revenue through work on high performance backend APIs, distributed systems, business intelligence, AI, ML, and NLP.
Micro Machine Learning in Go
Real world machine learning projects require large existing infrastructure, coordination across multiple teams, and executive support. Go can allow teams to build and deliver small, focused Machine Learning products and I’d like to present how I’ve done that at previous companies.