Komal Saini
Machine Learning Engineer at Apple
Old Toronto, Ontario, United States
Summary
🤩
Rockstar🎓
Top SchoolKomal Saini is a machine learning engineer with six years of experience building production-ready ML and full-stack features at top tech firms, currently at Apple. Her background blends research and product-focused internships at Google DeepMind, LinkedIn, and Sentry with academic ML work at the University of Toronto, giving her fluency from prototype research to shipped engineering. She has hands-on experience implementing frontend React UI features and backend Python serialization and DB changes—contributions to the widely used Sentry error-tracking platform highlight her ability to bridge UX and data integrity. Comfortable in both research and fast-moving product teams, she has repeatedly moved ideas into deployable systems during internships and academic projects. Based in Old Toronto but working across North American tech hubs, she brings cross-cultural collaboration and a track record of shipping features in large, distributed codebases. Colleagues describe her as a pragmatic engineer who pairs rigorous ML thinking with practical full-stack delivery.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Science Computer Science Specialist, Bachelor of Science Computer Science Specialist at University of TorontoMunk One Global Innovation Program, Munk One Global Innovation Program at University of Toronto - Munk School of Global Affairs & Public Policy
Github Skills (10)
sentry10
python10
react10
error-log9
django9
javascript9
error-logging9
typescripts8
typescript8
typescript-types8
Programming languages (3)
Github contributions (5)
getsentry/sentry
May 2022 - Aug 2022
Developer-first error tracking and performance monitoring
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:44 reviews, 120 commits, 50 PRs in 3 months
Contributions summary:Komal contributed to the development of features related to activity logging and commit resolution status within the Sentry platform. They implemented frontend changes, specifically within the React-based UI, to display commit information and resolved status. They also made backend changes, particularly within Python code, to handle serialization and database interactions related to these new features. The work involved modifying existing components and adding new functionality.
monitorpythonsentrydjangoerror-monitoring
komal-saini/komal-saini.github.io
Dec 2019 - Sep 2023
Contributions:21 pushes in 3 years 9 months
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