Mansi Nanavati
Machine Learning Engineer at Motional
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMansi Nanavati is a Machine Learning Engineer and UC San Diego MS candidate with a strong foundation from IIT Hyderabad and nine years of hands-on experience building production ML systems. She has driven measurable business impact—most notably at Moloco where her scalable Airflow pipeline and BERT/LLM work improved ad relevance and delivered a 7.5% CVR lift, 5.5% revenue growth, and 16.9% ROAS boost. Her background spans multimodal models, trajectory and agent behavior prediction at Motional, and computer vision research on video quality assessment, demonstrating an ability to move ideas from research to deployed pipelines. Comfortable across Python, C/C++, TensorFlow, Docker, and SQL, she focuses on solutions that directly help stakeholders while maintaining data privacy and pipeline efficiency. Outside of work she channels curiosity into travel, hiking, and pool, a pattern that reflects her preference for exploring diverse problems and environments.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Electrical Engineering, Bachelor of Technology - BTech, Electrical Engineering at Indian Institute of Technology HyderabadUniversity of California, San Diego
English, Hindi, GujaratiGithub contributions (5)
lfovia/distnet
Mar 2019 - Apr 2019
Contributions:27 commits, 27 pushes, 1 branch in 1 month
lfovia/QAGANS
Oct 2019 - Apr 2020
Contributions:44 commits, 43 pushes, 1 branch in 5 months
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