Summary
Luca Manolache is an EECS undergraduate at UC Berkeley focused on systems, infrastructure, and making machine learning more efficient, with eight years of hands-on experience spanning research, teaching, and production engineering. As Head Teaching Assistant for CS162, he designs exams, debugs kernels in C and Rust, and mentors hundreds of students through office hours and discussion sections. His research at BAIR and past work in RISE Lab center on model efficiency and KV-cache quantization, and he’s contributed open-source improvements at SkyPilot while interning at a stealth startup. Luca combines low-level systems expertise (PintOS, GDB-driven debugging) with ML systems research, and maintains an up-to-date project hub at lucamanolache.github.io. Notably, he helped process large-scale human voting datasets for model ranking—bridging infrastructure work with ML training data creation.
8 years of coding experience
3 years of employment as a software developer
EECS, EECS at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
High School Diploma, High School Diploma at Palo Alto High School