Charles Hong
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolCharles Hong is a PhD candidate at UC Berkeley with eight years of experience at the intersection of AI, systems, and hardware research, having interned at NVIDIA, Apple, Intel Labs, and Siemens EDA. He blends deep academic training in EECS with practical system-architect and hardware-technology internships, focusing on high-performance computing and AI acceleration. As a long-time graduate student instructor, he pairs rigorous research with clear technical communication and mentoring. Based in the San Francisco Bay Area, he brings a track record of translating cutting-edge research into engineering prototypes and tooling for silicon-aware AI systems. A pragmatic problem-solver, he is comfortable navigating both low-level hardware constraints and algorithmic innovations to optimize system performance.
8 years of coding experience
1 year of employment as a software developer
M.S., Ph.D., M.S., Ph.D. at University of California, Berkeley
Github Skills (63)
simulation10
hardware-designs10
lattice10
superscalar10
vlsi10
computer-architecture10
risc-v10
rocket10
hardware10
asic10
risc10
soc10
computer-engineering10
electrical-engineering10
chisel10
Programming languages (9)
Github contributions (5)
charleshong3/charleshong3.github.io
Aug 2018 - Feb 2024
Contributions:131 pushes, 1 branch in 5 years 6 months
ucb-bar/dosa
Aug 2023 - Oct 2024
Contributions:2 reviews, 2 PRs, 20 pushes in 1 year 1 month
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