Aakanksha S
Machine Learning Engineer at Snap Inc.
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAakanksha S is a Machine Learning Engineer based in San Francisco with eight years of experience building production ML systems and customer-facing web applications. After earning a B.Tech from NIT Calicut and an MS in Data Science from the University of San Francisco, she spent two years as a software engineer at JPMorgan Chase creating ADA-compliant, high-coverage frontends before transitioning to applied ML roles. At Snap she designs recommendation and ad-ranking models, and her earlier work includes deploying a PyTorch image-style model and running cohort-based churn analyses and A/B tests at a Y Combinator startup. She combines strong engineering discipline—unit-tested, scalable code and full-stack experience—with hands-on ML experimentation and product-minded evaluation. An avid competitive coder who also enjoys web development, she brings both rigorous software craftsmanship and practical ML deployment experience to data-driven product problems.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of San FranciscoB.Tech, Computer Science and Engineering, B.Tech, Computer Science and Engineering at National Institute of Technology Calicut
English, Hindi, Telugu
Github Skills (10)
herokuapp9
heroku-postgres9
flask-api8
heroku-deployment7
flask-restful7
heroku6
flask6
python5
react4
database4
Programming languages (2)
Github contributions (5)
aakanksha-ns/aakanksha-ns.github.io
Jul 2017 - Apr 2020
Contributions:47 pushes, 1 branch in 2 years 8 months
aakanksha-ns/flower-classifier
Aug 2019 - Dec 2019
Contributions:26 commits, 17 pushes, 1 branch in 4 months
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