Mohammed Hasan is a research-oriented engineering leader with 9 years of experience building and scaling high-availability distributed systems and leading cross-functional teams. He has driven architecture and operational excellence across large products serving tens of millions of users, refactoring monoliths into microservices and maintaining 99.98% availability under heavy load. Currently a PhD researcher at Queen’s and a Research Intern at Huawei Canada, he works on LLM fine-tuning and automated evaluation frameworks that improve reliability and reproducibility for AI-driven systems. He combines deep practical experience in backend stacks (Python, Node.js, MySQL, Redis, RabbitMQ, Elasticsearch, Kubernetes/Istio) with product-facing skills—mentoring teams, shaping roadmaps, and managing multi-million dollar budgets. Notably, his research produced an “LLM-as-Judge” evaluation framework and canonical testing patterns for agentic ecosystems, reflecting a rare blend of production-grade engineering and academic rigor.
9 years of coding experience
9 years of employment as a software developer
Secondary School Certificate, Science Major, Secondary School Certificate, Science Major at Chattogram Collegiate School
Higher Secondary School Certificate , Science, Higher Secondary School Certificate , Science at Govt. Hazi Muhammad Mohsin College, Chittagong
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Queen's University
Bachelor of Science (B.Sc.), Electrical and Electronics Engineering, Bachelor of Science (B.Sc.), Electrical and Electronics Engineering at Bangladesh University of Engineering and Technology
This is the Udacity project to split the udagram application in microservice and deploy it in Kubernetes cluster in AWS.
Contributions:16 PRs, 34 pushes, 2 branches in 2 years 10 months
splitudacitykuberneteskubernetes-clusteraws
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