Summary
Samiul Azam is a backend software developer and AI practitioner with nine years of experience turning ML research into production-grade services across cloud platforms. With dual MSc degrees and a flawless 4.00 GPA from the University of Calgary, he blends rigorous academic training with hands-on skills in Python, C++, Flask APIs, Terraform, Docker, Kubernetes and GCP. He has driven AI platform initiatives at ATB Financial to make models transparent and reproducible, and now builds scalable API and infrastructure modules at Seequent, including Terraform for Azure. A competitive programmer who solved 268 UVa problems, he brings algorithmic rigor to systems design and testing (Pytest, Selenium) as well as security and monitoring (Veracode, Splunk). Comfortable from research and teaching to enterprise delivery, he often acts as the bridge between data scientists and production engineers to operationalize complex models. Based in Calgary, he pairs deep technical breadth with a proven track record of shipping auditable, cloud-native ML systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science, Computer Science, 4.00/4.00, Master of Science, Computer Science, 4.00/4.00 at University of Calgary
Master of Science, Computer Science and Engineering, 3.83/4.00, Master of Science, Computer Science and Engineering, 3.83/4.00 at Bangladesh University of Engineering and Technology
Bachelor of Science, Computer Science and Engineering, 3.71/4.00 (Class position: 5th), Bachelor of Science, Computer Science and Engineering, 3.71/4.00 (Class position: 5th) at Military Institute of Science and Technology (MIST)
English, Bangla