Tristan Chong
Independent NLP Engineer at University of Pennsylvania
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolTristan Chong is an independent NLP engineer based in San Francisco with 13 years of experience building production-grade ML systems, search, and full-stack infrastructure. He has delivered end-to-end NLP products—from dataset curation and finetuning of open-weight LLMs to GPU server builds and local RAG deployments for clients with proprietary knowledge bases. Tristan’s background spans roles at PagerDuty and Statt where he architected ML features for incident context, scalable document ingestion and summarization pipelines, and modernized infrastructure for observability and deployment. Early work in computational linguistics and machine translation informs a strong applied research sensibility, while contributions to the Ruby ChatOps project Lita show an appreciation for developer-facing tooling. A philomathic, empathic collaborator, he’s known for cohering teams around big-picture outcomes and for tinkering with Raspberry Pi and Arduino to chase flow in Vim. Currently he’s also developing a Generative AI course for virtual environments at the University of Pennsylvania, blending academic rigor with product-focused experience.
13 years of coding experience
8 years of employment as a software developer
Master’s degree Computational Linguistics, Master’s degree Computational Linguistics at University of WashingtonUniversity of California, Los AngelesMaster's degree Data Science, Master's degree Data Science at University of Pennsylvania
Greek, Chinese, Spanish, English
Github Skills (5)
testing10
rspec10
event-handling10
chatbot10
ruby10
Programming languages (5)
Github contributions (5)
litaio/lita
Aug 2015 - May 2016
ChatOps for Ruby.
Role in this project:
Backend Developer
Backend DeveloperContributions:7 commits, 7 PRs, 3 comments in 9 months
Contributions summary:Tristan primarily focused on enhancing the Lita framework's core functionality. Their contributions include adding new features to the testing suite, such as the ability to send private messages and commands. They also improved the message dispatching process by triggering events at different points, and modified the message class to correctly interpret commands. These changes reflect a focus on refining the framework's internal architecture and extending its capabilities for developers.
chatopslitarubymrubychatbot
t33chong/lita-ascii-art
Apr 2014 - Aug 2015
Contributions:44 commits, 1 PR, 5 pushes in 1 year 3 months
artasciiascii-artlitahandler
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