Anas Desouky
Software Engineer at Google
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAnas Desouky is a software engineer with eight years of experience building production-ready systems, currently focusing on anomaly detection and monitoring at Google. He blends applied machine learning—particularly time-series forecasting and anomaly detection—with software engineering best practices to ship robust monitoring solutions. His background includes internships and product-focused engineering at Google, a data science advisory internship at EY, and a patent-pending RBC project that used deep learning and NLP to extract client insights. At UBC he built APIs and gRPC services in Go and contributed to a high-accuracy human activity recognition research prototype, demonstrating a knack for both systems and ML research. Based in Old Toronto, he brings a pragmatic, research-informed approach to operationalizing LLMs and forecasting models in large-scale environments. Notably, his career shows a consistent pattern of turning research prototypes into deployable products across industry and academia.
8 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at The University of British Columbia
Github Skills (1)
networking9
Programming languages (2)
Github contributions (5)
kimoantiqe/Nexus
Oct 2018 - Dec 2018
:speech_balloon: The up and coming professional networking app
Contributions:167 commits, 130 pushes, 1 branch in 1 month
networking
adesouky/Yelp-Database
Feb 2018 - Nov 2018
Contributions:13 pushes, 3 branches in 8 months
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