Jingyao Gong

Senior Software Quality Assurance Engineer at IHS Markit | Energy

Jenks, Oklahoma, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
Jingyao Gong is a Senior Software Quality Assurance Engineer based in Jenks, Oklahoma, with five years in software testing and a prior decade-plus background in geoscience and GIS. She combines rigorous QA practices in the energy sector with hands-on machine learning experimention—publishing MiniMind, an open-source mini-GPT she trained and iterated on, which highlights her ability to move models from prototype to reproducible code. Her mix of domain knowledge in oil and gas data, GIS publication experience, and practical ML engineering gives her a rare cross-disciplinary perspective on data quality and model validation. Known for a mindset of "infinite progress" (無限進步), she brings continuous improvement and practical engineering rigor to both testing pipelines and ML tooling.
code4 years of coding experience
github-logo-circle

Github Skills (11)

attention-mechanism10
pytorch10
machine-learning10
eval10
artificial-intelligence10
trainings10
large-language-models10
evaluation10
modeling10
python9
transformers9

Programming languages (4)

TypeScriptCJavaScriptPython

Github contributions (5)

github-logo-circle
jingyaogong/minimind

Jul 2024 - Apr 2025

🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 2h!
Role in this project:
userML Engineer
Contributions:1 release, 3 reviews, 11 PRs in 8 months
Contributions summary:Jingyao's commits primarily focus on implementing and updating the core machine learning model, likely a GPT variant, as indicated by the repository description. They were responsible for the initial open-source release of the MiniMind model, demonstrating the creation and configuration of model components, including attention mechanisms, feedforward networks, and the integration of rotary positional embeddings. Subsequent commits involve updates to the model, dataset processing, and evaluation scripts, suggesting ongoing development and improvement of the language model's architecture and training pipeline.
artificial-intelligencelarge-language-model
jingyaogong/editext

Dec 2021 - May 2022

Contributions:2 releases, 7 commits, 2 pushes in 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jingyao Gong - Senior Software Quality Assurance Engineer at IHS Markit | Energy