Summary
Tanvir Hassan is a software developer with eight years of experience building high-performance web APIs and distributed systems, currently contributing at Fix Network World in Montreal. He combines a strong academic background (Master’s in CS, 3.9/4.3) and research credentials in deep learning and 3D human pose estimation with practical full-stack and cloud-native experience (ASP.NET Core, Docker, Kubernetes, Azure, RabbitMQ). At 123Loadboard he optimized critical search queries from 2 seconds to 17 ms and helped scale integrations for a mobile fleet of 835K+ users, demonstrating an ability to turn research-grade problem-solving into production performance gains. Comfortable across languages from C/C++ to Python and frameworks like PyTorch, he bridges ML research and backend engineering—building efficient microservices, CI/CD pipelines, and observability stacks. Notably, his graduate work produced novel graph-ML architectures (MLP-GraphWJ mixer) for temporal 3D pose estimation, reflecting a knack for inventing compact architectures that translate to real-world systems.
8 years of coding experience
7 years of employment as a software developer
HSC, 5 out of 5, HSC, 5 out of 5 at BAF Shaheen College,Jessore
SSC, 5 out of 5, SSC, 5 out of 5 at Jessore Zilla School,Jessore
Master's degree, 3.9 out of 4.3, Master's degree, 3.9 out of 4.3 at Concordia University
Bachelor of Science - BS, Computer Science, 3.91 out of 4, Bachelor of Science - BS, Computer Science, 3.91 out of 4 at American International University-Bangladesh