Salman Omer is a software engineer with eight years of experience building GenAI and LLM-driven classroom tools at Khan Academy, where he’s focused on helping teachers leverage AI to improve learning experiences. A Rutgers ECE graduate (Summa Cum Laude) with a computer science minor, he blends strong engineering fundamentals with practical product focus and prior experience converting large-scale data workflows to faster platforms like Spark. His internship work included designing parsers and APIs for complex query engines and automating data synchronization between databases and REST endpoints, showing aptitude for both systems and tooling. Based in the New York City area, he brings a user-centered approach to applied ML features and a track record of turning research-grade models into classroom-ready experiences.
8 years of coding experience
Bachelor of Science - BS, Electrical and Computer Engineering (ECE), Minor: Computer Science, 3.83 GPA, Summa Cum Laude, Bachelor of Science - BS, Electrical and Computer Engineering (ECE), Minor: Computer Science, 3.83 GPA, Summa Cum Laude at Rutgers University
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