Luca Manolache

Head Teaching Assistant (uGSI) at Berkeley Artificial Intelligence Research

Berkeley, California, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job3 years of employment as a software developer
bookEECS, EECS at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
bookHigh School Diploma, High School Diploma at Palo Alto High School
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Stackoverflow

Stats
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Github Skills (26)

kernel-module7
robot7
kernel6
nvidia6
robotics5
linux4
python4
gpu4
cuda4
architecture3
extraction2
codebase2
stock-price-prediction2
css1
pytorch1

Programming languages (6)

JavaC++CJavaScriptJupyter NotebookPython

Github contributions (5)

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NotLucaM/configs

Jun 2020 - Jan 2022

Contributions:72 commits, 47 pushes, 9 branches in 1 year 7 months
lucamanolache/st

Oct 2020 - May 2024

My fork of simple terminal (st)
Contributions:2 PRs, 2 pushes, 2 branches in 3 years 7 months
simple-terminalterminal
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