Abdulrahman S is a Los Angeles–based software engineer with five years of hands-on experience focused on infrastructure, distributed systems, and AI/ML, comfortable shipping in Go, TypeScript, and Python. Currently a Codex Lab Member at OpenAI and a Datadog software engineering intern, he blends experimentation with agentic AI tools and practical systems work to explore new student-centered workflows. He was selected as an AWS AI/ML Scholar from 50,000 applicants (top 3%), reflecting strong aptitude for ML engineering and cloud-native practices. Past internships across PwC, Capital One, and SEO gave him full-stack and analytics exposure that complements his cloud and AI focus. He studies CS, Business Administration, and Mathematical Finance at USC, bringing a rare mix of technical depth and quantitative business insight to product-facing infrastructure problems. Notably, he pursues applied research-style projects that connect agentic AI capabilities to real-world learning and developer experiences.
5 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Computer Science, Business Administration, Mathematical Finance, Bachelor of Science - BS, Computer Science, Business Administration, Mathematical Finance at University of Southern California
Associate's degree, Science, Associate's degree, Science at Houston City College
High School Diploma, High School Diploma at Alief Early College High School
Contributions:23 commits, 17 pushes, 1 branch in 1 month
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Abdulrahman S - Codex Lab Member at Amazon Web Services (AWS)