Summary
Mohammad Akhtar is a Senior Software Developer with 8 years of experience building high-scale, production-grade systems across payroll, PPM, and internal tools, currently driving distributed Smart Pay and predictive payroll services at Ceridian. He combines strong academic foundations—a BASc in Computer Science from U of Toronto and an MS in Computer Vision and Scalable Computation from Western—with hands-on expertise in C#, Python, CUDA, MongoDB, T-SQL, and cloud-native CI/CD on Azure/Kubernetes. At Ceridian he led microservice and GraphQL migrations, delivered GPU-accelerated payroll computation that cut costs by 30%, and built real-time predictive services serving millions with a 90% system-load reduction. As a former co-founder and consultant, he automated testing and large-scale data migrations and has practical experience shipping end-to-end web apps and tooling at AMD. He regularly blends engineering rigor with design-minded problem solving informed by teaching experience in algorithms and systems programming. Notably, he pairs ML-driven productization with production reliability—turning research-grade models into scalable, low-latency services used by tens of millions.
9 years of coding experience
3 years of employment as a software developer
High School, High School at Rick Hansen Secondary School
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Western University
High School O-Levels, High School O-Levels at The Citty School
Bachelor of Applied Science - BASc Computer Science, Bachelor of Applied Science - BASc Computer Science at University of Toronto
English, Urdu, Punjabi