Hamel Husain
Independent Consultant at Parlance Labs
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolHamel Husain is an independent consultant and seasoned machine learning engineer based in Portland, Oregon, with over a decade of hands-on experience building developer-focused ML tooling and platforms. He helped create systems behind GitHub Copilot and led precursors like CodeSearchNet, and today helps companies operationalize LLMs to be faster, cheaper, and more reliable. A prolific open-source maintainer and contributor (notably across nbdev, fastai, fastcore and other high-impact projects), he blends full-stack engineering, ML research, and DevOps to move models from prototype to production. His background spans enterprise ML at Airbnb and GitHub to early-stage R&D at AnswerAI and his own Parlance Labs, giving him a rare vantage on productizing models at scale. Notably, he pairs deep technical work—e.g., prompt tokenization strategies and distributed training tools—with pragmatic MLOps solutions and strong documentation/testing practices.
12 years of coding experience
8 years of employment as a software developer
Doctor of Law (J.D.) Cum Laude, Doctor of Law (J.D.) Cum Laude at University of MichiganMaster of Science (M.S.) Computer Science Machine Learning, Master of Science (M.S.) Computer Science Machine Learning at Georgia Institute of TechnologyB.S. Mathematics and Industrial Engineering, B.S. Mathematics and Industrial Engineering at Southern Methodist University
Stackoverflow
1,288reputation
115kreached
4answers
4questions
apache-spark
top-5%
Github Skills (50)
transformers10
markdown10
tokenize10
notebook10
pytorch10
python10
code-search10
evaluation10
apidoc10
data-science10
testing10
semantic-segmentation10
machine-learning10
quarto10
prompt-engineering10
Programming languages (20)
Github contributions (5)
fastai/fastpages
Feb 2020 - Nov 2022
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:18 releases, 26 reviews, 1177 commits in 2 years 9 months
Contributions summary:Hamel appears to be a full-stack developer, heavily focused on the blog and documentation system. The commits suggest work on improving the system through code refactoring, and also implementing user-facing features, such as adding comment sections. The user's contributions span both frontend and backend aspects, with changes to both HTML and Python files, along with documentation updates.
literate-programmingvisualizationpythondata-sciencejupyter-notebook
hamelsmu/code_search
May 2018 - Jun 2018
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Role in this project:Data Scientist
Data ScientistContributions:91 commits, 18 PRs, 19 pushes in 19 days
Contributions summary:Hamel contributed to the development of a language model for code search, focusing on building and updating the language model using FastAI. The commits demonstrate the pre-processing of data, model training, and generation of embeddings. These efforts appear to be focused on constructing a semantic search engine for arbitrary objects using deep learning techniques.
pythonsemantic-search-enginetensorflownatural-language-processingdata-science
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