Chami Lamelas is a backend software engineer with 14 years of experience, currently building applied AI systems at Ramp after earning an MS in Computer Science from Tufts and dual BS degrees in Computer Science and Applied Math from Brandeis. He blends production engineering with research-driven problem solving—his grad work explored DNN adaptation for cluster scheduling, cost-aware LLM selection, and resource-aware hyperparameter optimization. Chami has a strong teaching and infrastructure background, having led autograder and CI/CD efforts for large CS courses and supervised multi-TA teams. He’s an active open-source contributor on projects like KC3Kai, where he improved front-end UX and game-data tooling, showing a knack for pragmatic feature work across stacks. U.S.-based in Greater Boston, he maintains a public portfolio with research, course artifacts, and projects that reflect both academic rigor and product-focused delivery.
13 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Tufts University
High School Diploma, High School Diploma at Bancroft School
Bachelor of Science in Computer Science Bachelor of Science in Applied Mathematics, Bachelor of Science in Computer Science Bachelor of Science in Applied Mathematics at Brandeis University
Contributions:13 reviews, 8 commits, 2 PRs in 1 year 7 months
Contributions summary:Chami primarily focused on improving the user experience and functionality of the Kantai Collection Game Viewer and Tools. Their contributions include implementing features related to the "next blocker" functionality, which appears to be related to displaying information based on in-game events. They implemented logic to check for game muting and API calls, and also introduced improvements to data backup and progress updates. The user also worked on the display of unlocked ships within the game viewer.
Contributions:1 PR, 33 pushes, 1 branch in 4 years 1 month
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