Aditya Jaishankar
Machine Learning Scientist - Studio Intelligence at Netflix
New York City Metropolitan Area United States
Summary
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Top SchoolAditya Jaishankar is a Machine Learning Scientist at Netflix with eight years of experience building and productionizing ML systems across NLP, time-series, and deep learning domains. Trained as a soft materials physicist with a PhD from MIT, he brings uncommon strengths in computational modeling and numerical methods from materials science and fluid dynamics to data-driven product problems. His background spans end-to-end engineering—Docker, Airflow, GKE, and GCP—to deploy resilient models, and he has driven algorithmic improvements for cloud-native distributed computing and large-scale text ranking. At The New York Times he blended transformer-based NLP and semi-supervised approaches for document prioritization, and at ExxonMobil he led an interdisciplinary research team on scalable reaction–diffusion modeling. Comfortable moving between research-grade simulation code and production pipelines, he excels at translating physical-science rigor into practical ML solutions.
7 years of coding experience
10 years of employment as a software developer
Indian Institute of Technology MadrasDoctor of Philosophy (PhD) Mechanical Engineering (Soft Materials Physics), Doctor of Philosophy (PhD) Mechanical Engineering (Soft Materials Physics) at Massachusetts Institute of Technology
Github Skills (4)
github9
git9
patch7
subversion5
Programming languages (3)
Github contributions (5)
aditya-jaishankar/aditya-jaishankar.github.io
Sep 2018 - Jul 2024
Blog for projects
Contributions:15 PRs, 96 pushes, 4 branches in 5 years 10 months
aditya-jaishankar/course-notes
Sep 2018 - Apr 2020
Contributions:62 pushes, 1 branch in 1 year 7 months
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