Joey Hong
Berkeley, California, United States
Summary
👤
SeniorJoey Hong is an applied ML and software researcher bridging academic rigor with production experience across Google, ByteDance, and X (formerly Moonshot Factory). With a CS and Math foundation from Caltech and ongoing PhD work at Berkeley, he focuses on language models, program synthesis, recommender systems, and multi-turn LLM agent tooling—contributions that include improving seq-to-seq baselines and implementing relative attention in a prominent Google Research repository. He has shipped end-to-end systems in C++/TensorFlow for autonomous driving prediction and built distributed storage and crawling/indexing pipelines earlier in his career, demonstrating comfort across low-level systems and cutting-edge ML. Notably, his work spans research and product settings, from publishing CVPR and IEEE papers to integrating models into trading simulation and production search, revealing a pragmatic researcher who values both experimentation and deployability.
11 years of coding experience
Github Skills (7)
transformer-models10
machine-learning10
jax10
python10
flax10
ai9
deep-learning9
Programming languages (4)
Github contributions (5)
google-research/google-research
Sep 2021 - Oct 2021
Google Research
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 19 PRs, 1 comment in 22 days
Contributions summary:Joey's commits focus on enhancing the baseline seq-to-seq model used in the Google Research project. They added and modified test cases for model training, specifically within the `latent_programmer` directory. Further contributions include implementing relative attention mechanisms and related refactoring, indicating a focus on improving the model's architecture and performance. These changes suggest a significant involvement in the model's development and experimentation.
googlemachine-learningai
jxihong/google-research
Aug 2021 - Aug 2023
Google Research
Contributions:8 PRs, 55 pushes, 24 branches in 1 year 11 months
google
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