Hamel Husain
Independent AI Consultant & Educator @ Parlance Labs
Independent ML engineer with 20+ years of experience, formerly at Airbnb and GitHub where he did early LLM research used by OpenAI for code understanding. Co-teaches 'AI Evals for Engineers and PMs' with 3,000+ students from 500+ companies including OpenAI, Anthropic, and Google. Core expertise: LLM Fine-Tuning, AI Evaluations, ML Engineering, Production LLMs. Proficient with OpenAI, Anthropic Claude, Hugging Face, Weights & Biases, LangChain.
About
Independent ML engineer with 20+ years of experience, formerly at Airbnb and GitHub where he did early LLM research used by OpenAI for code understanding. Co-teaches 'AI Evals for Engineers and PMs' with 3,000+ students from 500+ companies including OpenAI, Anthropic, and Google. Expert on LLM fine-tuning and evaluation systems for production AI products.
Case Studies
2 totalLLM Fine-Tuning Implementation
Deep expertise in OpenAI fine-tuning APIs and model evaluation
Deep expertise in OpenAI fine-tuning APIs and model evaluation
Tools
OpenAI Project
99% of the labor in fine-tuning is assembling high-quality data that covers your AI product's surface area. The model training is the easy part.
99% of the labor in fine-tuning is assembling high-quality data that covers your AI product's surface area. The model training is the easy part.
Tools
AI Tool Expertise
"Deep expertise in OpenAI fine-tuning APIs and model evaluation"
"Teaches evals across frontier models including Claude"
"Extensive open-source ML work, fine-tuning with HF ecosystem"
"Uses W&B for experiment tracking in fine-tuning workflows"
"Evaluates and teaches LLM orchestration frameworks"