Summary
Hamza Shili is an M.S. computer science student and researcher at Rice University with four years of software engineering and research experience across distributed ML, systems, and cloud infrastructure. He has shipped production integrations at HashiCorp (Vault + Terraform) and contributed to GPU-efficient deep learning benchmarking and federated datasets for ICARUS, while now researching adaptive Mixture-of-Experts and agentic AI at OptimaLab. As a teaching assistant for compilers, algorithms, and systems, he blends rigorous theoretical grounding with practical engineering and mentorship. His background spans full-stack web tooling, embedded systems prototyping, and VC fellowship exposure, reflecting a rare mix of hands-on implementation and product/strategy insight. Based in San Francisco, he’s comfortable moving between low-level performance work and higher-level infrastructure design, and often finds efficiency wins by rethinking data pipelines and training workflows.
4 years of coding experience
3 years of employment as a software developer
Tunisian baccalaureate, Mathematics, Tunisian baccalaureate, Mathematics at Lycée Pilote Bourguiba Tunis
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Rice University
Diploma in African Studies, Entrepreneurial Leadership, Math, Physics, and Economics, Entrepreneurship/Entrepreneurial Studies, Diploma in African Studies, Entrepreneurial Leadership, Math, Physics, and Economics, Entrepreneurship/Entrepreneurial Studies at African Leadership Academy
Arabic, English, French, Spanish