Ryan Chhong is a software engineer with nine years of experience who blends full‑stack development, machine learning, and cloud infrastructure expertise, backed by MS and BS degrees in Computer Science from UT Austin. He has built production APIs and data pipelines, fine‑tuned state‑of‑the‑art NLP models using Hugging Face, and deployed inference services with FastAPI and Terraform while instrumenting pipelines with Prefect/Dagster. At JPMorgan Chase he now contributes to API gateway engineering, following hands‑on roles that cut inference latency, implemented Redis rate limiting, and sped up explainability metrics by 75% with PySpark. Comfortable across frontend TypeScript/Angular and backend Python, he has a track record of turning ML research into reliable, tested services and automation that serve real‑time needs.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
Computer Science, Computer Science at Texas Academy of Mathematics and Science
Open-source keyboard firmware for Atmel AVR and Arm USB families
Contributions:24 pushes, 5 branches in 4 years 7 months
rp2040nrf52840firmwareavratmel
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