Shradha Sehgal
Machine Learning Research Engineer at Netflix
Champaign, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolShradha Sehgal is a Machine Learning Research Engineer with seven years of experience building large-scale deep learning systems and agentic AI workflows, currently applying LLMs to personalization and recommendations at Netflix. She holds an MS in Computer Science from UIUC (4.0) and has blended academic research—working on creative analogy generation with LLMs at DAIS—with production-facing ML infra and A/B testing pipelines. Her background includes internships and research projects at Netflix, Carnegie Mellon, and Google, where she delivered real-time data pipelines and practical ML solutions presented to stakeholders including the FDA. Known for taking 0-to-1 ownership, she bridges research and engineering to operationalize novel LLM capabilities for user-centric products. A former educator and full-stack developer, she brings strong systems design and product sensibility alongside rigorous academic foundations.
7 years of coding experience
1 year of employment as a software developer
High School Diploma, 96%, High School Diploma, 96% at The Mother's International SchoolMaster of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at University of Illinois Urbana-ChampaignBachelor of Technology, Computer Science, 9.8 / 10, Bachelor of Technology, Computer Science, 9.8 / 10 at International Institute of Information Technology
Github Skills (64)
earth-observation10
satellite-imagery10
geospatial10
datasets10
torchvision10
computer-vision10
science10
commoncrawl9
pytorch9
python9
computational-social-science9
deep-learning9
extractor9
roberta9
crawler8
Programming languages (8)
Github contributions (5)
shradhasehgal/Pandora
Feb 2020 - Feb 2021
A shopping app built with MERN stack with appropriate functionality for customer and vendor side
Contributions:30 commits, 1 PR, 1 push in 11 months
reactvendorexpressjsmernexpress
shradhasehgal/Indoor-Air-Pollution-Monitoring-System
Nov 2019 - Dec 2019
A mobile indoor air quality monitoring system with real time updates and email alerts
Contributions:13 commits, 1 PR, 12 pushes in 1 month
alertsemailreal-time-updatesupdatesair-quality
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