Jason Lin
Software Engineer at Netflix
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJason Lin is a software engineer with 11 years of experience building large-scale distributed systems and data platforms, currently contributing to Netflix’s data platform after five years on Google's distributed storage infrastructure team. A Stanford-trained engineer with deep learning interests in computer vision and NLP, he blends systems-level rigor with ML curiosity—evident from a GitHub presence focused on deep learning. His background includes improving CDN throughput at Apple, reducing tail latency in Google File System clients, and shipping transit ETA services at Lyft, showing a pattern of optimizing reliability and performance at scale. He also has strong teaching and mentorship roots from multiple TA and section leader roles at Stanford, which inform his collaborative, documentation-minded approach to engineering.
11 years of coding experience
6 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at Stanford University
English
Github Skills (47)
deploying10
javascript9
adversarial-attacks9
webgl9
interpretation9
scroll8
computer-vision8
deep-learning8
inpainting8
machine-learning8
typescript8
visualization8
sentence-transformers7
neural-network7
gradient7
Programming languages (4)
Github contributions (5)
jaxball/advis.js
Jul 2018 - Dec 2019
[Tensorflow.js] AdVis: Exploring real-time Adversarial Attacks in the browser with Fast Gradient Sign Method.
Contributions:19 commits, 16 pushes, 1 branch in 1 year 5 months
real-timeadversarial-attacksbrowsersignadversarial
jaxball/concurrent_cache
Jan 2016 - Jul 2018
Contributions:6 pushes, 1 branch in 2 years 6 months
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