Sahiti Cheguru
Applied Scientist at Microsoft
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSahiti Cheguru is an applied scientist and software engineer with three years of experience building production-ready ML systems across cybersecurity, gaming, and e-commerce domains. She has shipped end-to-end forecasting and optimization pipelines at Microsoft Xbox PlayFab that saved an estimated $568K annually in a single region, and built anomaly-detection and intrusion models that improved fraud detection by 25% at Culinda. Comfortable across cloud platforms (Azure, AWS), PySpark, and deep learning stacks, she blends research experience in NLP and recommendation systems with hands-on software engineering to operationalize models. A quick learner and practical problem-solver, she has contributed bug fixes to the microsoft/recommenders repo and led novel time-series forecasting projects on large-scale telemetry. Based in Los Angeles, she’s seeking roles where she can architect innovative AI products and drive measurable business impact.
3 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Southern California
Hindi, Telugu, English
Github Skills (16)
jupyter-notebook10
rating10
recommendation-engine10
recommendation-system10
recommender10
artificial-intelligence10
python10
ai10
recommender-system10
ranking10
data-science9
azure9
machine-learning9
deep-learning9
kubernetes9
Programming languages (1)
Github contributions (1)
recommenders-team/recommenders
Jul 2022 - Jul 2022
Best Practices on Recommendation Systems
Contributions:3 reviews, 1 commit, 7 PRs in 1 day
recommendation-systemspythonjupyter-notebookoperationalizationmicrosoft
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.