Summary
Homayoon Alimohammadi is a Software Engineer with four years of experience building cloud-native systems and infrastructure, currently contributing to Canonical’s Kubernetes team from Dubai. He designs and implements Kubernetes controllers and in-place upgrade mechanisms in Golang and Python for large clusters, and has driven cloud-agnostic provisioning across AWS, GCP and MAAS. Previously he led a team at Divar to redesign high-throughput microservices, cutting latency by 60% while ensuring 99.99% uptime and handling thousands of requests per second. He brings a strong ML-to-production background from research and healthcare projects—co-authoring journal papers and delivering a medical-imaging model with a DICE score of 89%—and pairs that with practical SRE and CI/CD expertise. His academic path spans Materials Science and an MS in AI, reflecting a rare mix of domain research, machine learning, and robust distributed-systems engineering.
4 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at K. N. Toosi University of Technology
High School Diploma, Mathematics, High School Diploma, Mathematics at National Organization for Development of Exceptional Talents (Sampad)
Bachelor's degree, Materials Science and Engineering, Bachelor's degree, Materials Science and Engineering at Sharif University of Technology
Persian, English, French