Simran Singh is a software engineer with eight years of experience building production systems across companies from startups to Meta, currently working on generative AI at Meta after a multi-year tenure at Instagram. She blends a formal background in computer science and statistics from the University of Toronto with hands-on skills in cloud infrastructure, NLP, applied ML and full-stack web systems. Her resume spans research in computational linguistics, shipped ML pipelines at Deloitte Digital, and product-focused internships at Snap and Facebook, showing both academic rigor and delivery-oriented engineering. Simran thrives in fast-paced, collaborative environments and enjoys owning projects end-to-end—from design and prototyping to deployment and monitoring. A detail that sets her apart is early experience integrating platform APIs (Google Sheets/Drive) into campus-wide tooling, reflecting an appetite for pragmatic automation and user-centered solutions. Based in New York, she combines product sensibility with technical depth and is active in roles that bridge ML research and production engineering.
8 years of coding experience
5 years of employment as a software developer
General Studies, General Studies at Bishop Reding Catholic Secondary School
Bachelor of Computer Science Computer Science, Bachelor of Computer Science Computer Science at University of Toronto
Sign Together was formed out of the team's inspiration to help a target demographic (ie. the deaf) by utilizing advancing technologies such as computer vision and artificial intelligence.
Contributions:13 commits, 2 PRs, 5 pushes in 1 day
Emergency room simulator which is highly configurable and can simulate a broad range of scenarios. It can be used by medical professionals/researchers to determine bottlenecks and areas in the emergency room which would benefit most from added resources.
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