Jess Smith
Gainesville, Florida United States
Summary
🤩
Rockstar🎓
Top SchoolJess Smith is a software engineer with 11 years of experience who blends practical full-stack development and ML engineering, with recent professional focus on best practices, tooling, and AI. They’ve contributed to notable open-source projects—adding tensor type annotations and a typing demo to the TransformerLens library for mechanistic interpretability of GPT-style models, and building a TypeScript client and examples for the openai/gym-http-api. Based in Gainesville but formerly in NYC, Jess pairs production-focused engineering with an interest in developer ergonomics and maintainable code. Outside work they prioritize physical and mental health, which informs a steady, long-term approach to complex systems and collaboration.
11 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Florida
French, English
Github Skills (14)
pytorch10
machine-learning10
typescript10
typescripts10
python10
typescript-types10
axios9
apidoc9
javascript9
api9
openai-gym9
gulp8
http8
build-automation8
Programming languages (13)
Github contributions (5)
TransformerLensOrg/TransformerLens
Nov 2022 - Dec 2022
A library for mechanistic interpretability of GPT-style language models
Role in this project:
ML Engineer
ML EngineerContributions:14 reviews, 88 commits, 6 PRs in 1 month
Contributions summary:Jess contributed to the mechanistic interpretability of GPT-style language models by adding type annotations and creating a typing demo. They annotated existing components, such as `Embed`, `Unembed`, and `Attention`, with tensor type hints, improving code clarity and maintainability. The typing demo showcased how tensor typing works within the library using PyTorch, which aids in identifying and preventing potential type-related errors.
openai/gym-http-api
Aug 2016 - Sep 2016
API to access OpenAI Gym from other languages via HTTP
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:27 commits, 1 PR in 20 days
Contributions summary:Jess primarily focused on developing a TypeScript-based client for the OpenAI Gym HTTP API. Their contributions included implementing a random agent example using the client and refactoring the project structure. They also added build scripts and documentation. Furthermore, they implemented more client functionality, including implementing all of the client's documented methods.
apireinforcement-learningopenailanguagesgym
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