Hassan Ahmed is a software engineer with 8 years of experience building production systems across AI, full-stack, and distributed computing domains, currently developing workflow management for CMS Monte Carlo simulations at CERN. He combines research-driven model work—improving action recognition accuracy for medical training—with production-grade engineering, having integrated SOTA models into industry pipelines. At CERN he maintains Unified and WMCore systems that orchestrate large-scale data reconstruction on the global LHC computing grid, demonstrating strong expertise in scalable scientific infrastructure. Earlier roles span CI/CD automation with Docker and GitHub Actions, time-series forecasting and AWS deployments, and teaching core computer organization concepts. Based in Meyrin, Geneva, he pairs academic rigor (BSc Computer Science, 3.78 GPA) with hands-on delivery, notably improving a flagship activity-recognition system by about 10%.
7 years of coding experience
2 years of employment as a software developer
Matriculation, Matriculation at Happy Home high school
Bachelor of Science - BS, Computer Science, 3.78, Bachelor of Science - BS, Computer Science, 3.78 at National University of Computer and Emerging Sciences
HSC, Pre-Engineering, Intermediate, HSC, Pre-Engineering, Intermediate at Adamjee govt. Sci. College
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