Georgios Liargkovas is a PhD student in Computer Science at Columbia University focused on self-optimizing operating systems that blend LLM agents with traditional ML to boost CPU scheduling and workload-aware performance. He combines research rigor from Columbia’s DAPLab and Nebula groups with practical systems experience from Brown’s Atlas Systems Group, where he contributed to popular tooling like the out-of-order shell executor and the lightweight binpash/try sandbox. With six years of experience spanning academic research, teaching large undergraduate courses, and industry engineering roles, he brings both hands-on implementation skills and empirical software-engineering perspective. Georgios is comfortable at the intersection of agents, systems, and performance engineering, and has a track record of building reproducible, high-impact tools that attract community attention.
6 years of coding experience
Bachelor's degree, Management Science and Technology, 9.37/10, Bachelor's degree, Management Science and Technology, 9.37/10 at Athens University of Economics and Business
High School Diploma, Economics & IT Field, 19.8/20, High School Diploma, Economics & IT Field, 19.8/20 at Costeas-Geitonas School (CGS)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
Contributions:4 PRs, 152 pushes, 1 branch in 2 years
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Georgios Liargkovas - Doctoral Student at Columbia University