Muhammed Safa

ML Engineering Lead at Borealis AI

Montreal, Quebec, Canada
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Muhammed Safa is an ML Engineering Lead based in Montreal with eight years of experience building production-ready machine learning systems and leading engineering teams at Borealis AI. His background blends electrical engineering fundamentals from McGill with a strong software engineering pedigree honed at GE and Current, where he led intelligent device initiatives before focusing on ML platform and model robustness. At Borealis he progressed from developer to lead, contributing not only to delivery but to code quality and adversarial robustness tooling — including fixes and enhancements in the well-regarded advertorch adversarial research library. Muhammed is pragmatic about moving models to production, emphasizes maintainable code and testing, and brings a hardware-aware perspective to ML problems that helps bridge research and deployed systems.
code8 years of coding experience
job13 years of employment as a software developer
bookBEng Electrical Engineering, BEng Electrical Engineering at McGill University
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
0answers
0questions
github-logo-circle

Github Skills (5)

pytorch10
adversarial-attacks10
python10
machine-learning9
flake8

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

github-logo-circle
BorealisAI/advertorch

Apr 2022 - Apr 2022

A Toolbox for Adversarial Robustness Research
Role in this project:
userML Engineer
Contributions:4 reviews, 10 commits, 2 PRs in 1 day
Contributions summary:Muhammed primarily addressed flake8 issues, ensuring code style consistency across multiple files. They also made updates to the `advertorch/attacks` and `advertorch/defenses` modules, which involved modifying attack implementations, and smoothing techniques. Their commits demonstrate a focus on maintaining code quality and addressing issues related to the library's functionality in adversarial robustness research.
adversarial-learningpytorchadversarial-attacksbenchmarkingadversarial-perturbations
msalihs/adventOfCode

Dec 2020 - Jan 2025

Contributions:91 pushes, 1 branch in 4 years 1 month
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.
Request Free Trial
Muhammed Safa - ML Engineering Lead at Borealis AI