Mohamed Ismail (prefers Abdul) is a seasoned software engineer and technical lead with a decade of experience building data-driven, production-grade systems across retail and e-commerce AI. He has progressed from data engineering roles at Celect to principal engineering leadership at Nike and most recently helped shape next-generation e-commerce AI at Cimulate before joining Salesforce as Lead MTS. His strengths span Python, Java, Go and C/C++, with deep foundations in algorithms, distributed databases and SQL—skills he honed both in industry and as a graduate services assistant at Arizona State University. Comfortable shipping across the stack, he also has hands-on experience migrating systems and implementing approximate nearest-neighbor search for high-dimensional data. Known for translating research-grade ideas into reliable production services, he brings a pragmatic mix of academic rigor and startup-to-enterprise impact.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
Bachelor of Technology (B.Tech.), Information Technology, Bachelor of Technology (B.Tech.), Information Technology at Sri Venkateswara College of Engineering at Anna University
Matriculation Certificate, Physics, Chemistry, Mathematics and Computer Science, Matriculation Certificate, Physics, Chemistry, Mathematics and Computer Science at Doveton Boys' Higher Secondary School
A library for generating fake data and populating database tables.
Contributions:7 releases, 19 reviews, 11 commits in 1 year 1 month
factorydummy-datadatabasefakerfake-data
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