Damian Ho is a software engineer with 11 years of experience, currently pursuing an MS in Computer Science at Stanford and based in New York. He has strong full-stack and cloud skills demonstrated by leading an eight-person team to migrate Autolab to AWS CloudFormation and improving its UX and security while patching CVEs. His internships at high-frequency trading firms and HFT-adjacent roles (Hudson River Trading, Jump Trading) reflect expertise in low-latency systems and exchange connectivity, while security-focused stints produced large-scale policy automation and CI/CD vulnerability scanning. Damian pairs systems-level engineering—benchmarked data structures and WireGuard performance tuning—with product-minded improvements like fast version switching and admin UX fixes in educational tooling. He’s equally comfortable shipping secure, scalable infrastructure and iterating on developer productivity via automation and AI-assisted workflows.
11 years of coding experience
2 years of employment as a software developer
Hwa Chong Institution
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Course management service that enables auto-graded programming assignments.
Role in this project:
Full-stack Developer
Contributions:3 releases, 484 reviews, 114 commits in 9 months
Contributions summary:Damian primarily contributed to the Autolab course management service by implementing new features and improving existing ones. Their work included handling edge cases such as empty course rosters and adding functionality for fast version switching. They also improved the user interface by enhancing the accessibility of the admin course button and updating the submission view page. The user also worked on fixing CSRF issues and improving various aspects of the system.
Contributions:98 commits, 98 pushes in 1 year 6 months
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