James Pruegsanusak
Computer Scientist
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolJames Pruegsanusak is a computer scientist with 9 years of experience, combining academic research at MIT CSAIL with practical machine learning and computational photography work. Based in San Diego, he brings an engineer’s attention to detail—evident in open-source contributions to the widely used tensorflow/models repo where he improved object detection tutorials and fixed usability issues. His background in EECS at MIT informs a disciplined approach to both research and engineering, bridging prototyping and production-ready examples. He favors making complex ML tooling more accessible, improving documentation and reproducibility as much as model code.
9 years of coding experience
Massachusetts Institute of Technology
Github Skills (6)
object-detection10
machine-learning10
tensorflow10
python10
jupyter-notebook9
computer-vision8
Programming languages (6)
Github contributions (5)
tensorflow/models
Jun 2017 - Jul 2017
Models and examples built with TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:19 commits, 15 PRs, 29 comments in 29 days
Contributions summary:James primarily contributed to the object detection tutorial within the TensorFlow models repository. Their commits focused on fixing installation links and resolving indentation errors within the Jupyter notebook tutorial. Additionally, they corrected a minor typo in a utility file and adjusted code related to the export of inference graphs. The work indicates a focus on improving the usability and correctness of the provided tutorial examples for object detection tasks.
deep-learningtensorflow
6808/6808.github.io
Feb 2019 - Dec 2020
Contributions:140 pushes, 1 branch in 1 year 10 months
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