Summary
Mohamed Tayeh is a Software Engineer II with eight years of experience building scalable backend and full-stack systems, currently contributing to DoorDash after driving LLM automation and data ingestion at Workorb AI. He is proficient in Java, TypeScript, Go, Python and modern frameworks (Spring Boot, React, Django) and has a track record optimizing APIs and search pipelines for performance and reliability. At Temerity Analytics he refactored and accelerated over 100 Django REST APIs and led client-facing feature design involving maps and analytics, while at Workorb he improved efficiency of end-client workflows by 40% through LLM-driven automation. Comfortable across protocols (REST, GraphQL, gRPC) and databases (Postgres, Mongo, Neo4j), he also automates CI/CD and deployment tooling with GitHub Actions and Docker. A mentor and pragmatic problem-solver, Mohamed pairs rigorous testing and security-minded code reviews with hands-on ownership of production issues. Based in Old Toronto, he combines strong academic foundations in CS and statistics with seven-plus years of personal projects that keep his tooling and language skills sharp.
8 years of coding experience
4 years of employment as a software developer
International Baccalaureate Diploma Programme, 43/45, International Baccalaureate Diploma Programme, 43/45 at Amman Baccalaureate School
I/GCSE - Internationa General Certificate of Secondary Education, 7 A* 1 A 1 B, I/GCSE - Internationa General Certificate of Secondary Education, 7 A* 1 A 1 B at New Cairo British International School
Honours Bachelor of Science, Computer Science and Statistic, Honours Bachelor of Science, Computer Science and Statistic at University of Toronto
English, Arabic, French, Portuguese