Aditi Sharma
Machine Learning Engineer at Box
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAditi Sharma is a machine learning engineer with over a decade of experience and eight years focused on applying ML to drive product and business outcomes, most recently building personalized recommendation and channel-optimization systems at Square. She has progressed from hands-on model development to staff-level responsibility and now contributes ML expertise at Box, combining production recommender systems, ranking, and lifecycle personalization. Her background spans e-commerce and fintech use cases—deploying RNN-LSTM, embeddings like Car2Vec, gradient boosting, and clustering—to boost engagement, retention, and revenue while reducing operational costs. Notably, she delivered a forms automation program at Bank of America that saved the business $4.8M and has practical experience turning research techniques into scalable, customer-facing systems. Based in the San Francisco Bay Area, she pairs an MS in Data Science with a track record of shipping end-to-end ML solutions that bridge product and data science.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (BTech), Bachelor of Technology (BTech) at National Institute of Technology WarangalMaster of Science - MS Data Science, Master of Science - MS Data Science at University of San Francisco
Github Skills (28)
python9
machine-learning9
tensorflow9
deep-learning9
marshmallow8
flask-restful8
neural-network8
data-science8
ml7
deep-neural-networks7
api7
backend7
flask7
docker7
microservices6
Programming languages (4)
Github contributions (5)
adt123/interface_v2
Oct 2016 - Jan 2017
Contributions:8 pushes, 1 branch in 3 months
apipythonflaskrestapibackend
metpetdb/interface_v2
Nov 2014 - Jan 2017
The Flask interface ported to the RESTAPI implementation of the backend
Contributions:15 commits, 4 PRs, 1 comment in 2 years 2 months
apipythonflaskrestapibackend
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.