Alex Andonian
Machine Learning Engineer at MIT CSAIL
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Andonian is a machine learning engineer and MIT-trained PhD candidate with a decade of experience building computer vision and AI systems across academia and industry. He has interned as a research scientist at Google and DeepMind and applied vision research during roles at Amazon, Adobe, and MIT CSAIL, blending theoretical rigor with production-minded implementation. His work spans generative modeling, unsupervised representation learning, and practical video classification tooling—contributing improvements to a notable Temporal Relation Networks PyTorch repo for robust single-video evaluation and frame handling. Based in San Francisco, he combines deep technical grounding in neuroscience, physics, and math with an aptitude for shipping research into usable code and tooling.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD AI & ML, Doctor of Philosophy - PhD AI & ML at Massachusetts Institute of TechnologyBachelor of Science - BS Neuroscience, Bachelor of Science - BS Neuroscience at Bates College
Github Skills (8)
computer-vision10
pytorch10
ffmpeg10
python10
ml-deployment9
machine-learning9
continuous-deployment9
tensorflow4
Programming languages (4)
Github contributions (5)
zhoubolei/TRN-pytorch
Jan 2018 - Feb 2019
Temporal Relation Networks
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 8 pushes, 14 comments in 1 year 1 month
Contributions summary:Alex primarily focused on developing and updating the single video testing script, which involved loading pre-trained models and predicting video classifications. They implemented features to handle video frame extraction using FFmpeg and incorporated frame loading from a text file. The user also updated the script to work with different datasets and model architectures and added functionality for rendering output frames with prediction text.
relationpytorchvisual-recognitiontemporal
alexandonian/BigGAN-PyTorch
Nov 2019 - Feb 2020
The author's officially unofficial PyTorch BigGAN implementation.
Contributions:105 commits, 68 pushes, 4 branches in 2 months
pytorch
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