Summary
Zeyad Osama is an Applied AI Function Lead and Senior HPC Software Engineer with eight years of experience designing and delivering large-scale AI and high-performance computing solutions from research to production. He architects LLM-powered systems, RAG-based retrieval, and end-to-end GenAI deployments while optimizing backend services and on-prem/Cloud clusters for throughput and fault tolerance. His work spans low-level HPC optimizations in C/C++ and CUDA to full-stack production systems using Django, Angular, PostgreSQL/MongoDB and Ray Serve, demonstrating rare cross-stack fluency. He has led government and enterprise POCs that shortened workflows and compliance checks, and built chatbot and hardware-configuration optimization modules that measurably improved performance and response times. Beyond engineering, he mentors teams and teaches programming to youth, pairing an MBA-level product sensibility with deep technical rigor.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Computer Engineering, Bachelor of Engineering - BE Computer Engineering at Alexandria University
Master of Business Administration - MBA Business Administration and Management General, Master of Business Administration - MBA Business Administration and Management General at Arab Academy for Science, Technology and Maritime Transport
Arabic, English, French