Nathan Pemberton
Applied Scientist at Amazon Web Services (AWS)
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNathan Pemberton is an applied scientist based in Berkeley with 11 years of industry and research experience bridging large-scale engineering and advanced research. He currently applies machine learning and systems expertise at AWS after an extended PhD and research stint at UC Berkeley, bringing academic rigor to production-focused problems. His background includes core systems work at Oracle and early software internships, reflecting a comfort with both low-level engineering and applied research. A high-achieving lifelong learner (BS in Computer Engineering with a 3.98 GPA and ongoing PhD work), he combines disciplined engineering habits with curiosity about turning novel research into reliable cloud services. Colleagues can expect a scientist who writes production-quality code and thinks deeply about scalability, reproducibility, and real-world impact.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBS, Computer Engineering: Computer Systems, 3.98, BS, Computer Engineering: Computer Systems, 3.98 at UC Santa CruzBachelor of Science, Computer Science, Bachelor of Science, Computer Science at Cuesta College
Github Skills (123)
hardware-designs10
lattice10
parallel10
python10
computer-architecture10
asic10
risc10
soc10
ray10
rocket-chip10
optimization10
computer-engineering10
fpga10
system-on-chip10
agile10
Programming languages (12)
Github contributions (5)
NathanTP/kaasBenchmarks
May 2021 - Nov 2023
Benchmarks for the KaaS project
Contributions:10 reviews, 88 PRs, 259 pushes in 2 years 5 months
benchmarkkaasbenchmarkskubernetes
firesim/FireMarshal
May 2019 - Jul 2022
Contributions:5 releases, 36 reviews, 124 commits in 3 years 3 months
workload-managementbuildrootmanagement-toolluksworkload
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