Garima Garg
Lead Machine Learning Engineer at Disney Streaming
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolGarima Garg is a Lead Machine Learning Engineer with 11 years of experience building recommendation, personalization, and optimization systems across entertainment, e-commerce, and consumer platforms. Currently at Disney Streaming, she has a track record of applying constraint optimization (MIP/Gurobi), multi-objective optimization, and production ML (XGBoost, SageMaker, PySpark) to real-world problems like smart assortments, pricing, and acceptance modeling. She blends deep statistics training (MS in Statistics & Applied Mathematics) with practical engineering from early software roles, enabling her to move models from research to robust, scalable pipelines. Notably, she has applied LLM and multimodal approaches (BERT, CLIP) to similarity and recommendation use cases and built offline evaluation frameworks to back-test complex models. Based in Los Angeles, she pairs strong cross-functional communication—having presented internal and industry talks—with hands-on implementation of feature stores, Databricks workflows, and production evaluation frameworks.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science and Engineering, Bachelor of Technology (BTech) Computer Science and Engineering at Jaypee Institute Of Information Technology, NoidaUniversity of California Santa Cruz
English, HindiGithub contributions (5)
ggargucsc/Supervised-PCA
Nov 2015 - Mar 2016
Contributions:5 commits, 11 pushes, 1 branch in 3 months
ggargucsc/MachineCleaningModel
May 2016 - Jan 2018
Contributions:9 pushes, 3 branches in 1 year 8 months
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