Junle Zhou
Research (Time Series) at UNSW Computer Science and Engineering
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolJunle Zhou is an inquisitive Computer Science student at UNSW with eight years of practical experience applying data analysis, data mining, deep learning, and software development to real-world problems. A soroban mental arithmetic champion, he combines exceptional quantitative intuition with a results-driven mindset to tackle time-series and AI research—currently contributing to research at UNSW while working with Akuna Capital. His background includes hands-on roles in machine learning performance engineering and LLM research, reflecting a blend of academic rigor and industry exposure across startups and large tech. Junle is motivated by creative, collaborative problem-solving and seeks opportunities that push technical boundaries and produce measurable impact.
7 years of coding experience
1 year of employment as a software developer
Shenzhen Middle SchoolUNSW Sydney
English, Chinese, Chinese, python
Github Skills (14)
microkernel10
sel410
virtual-machine8
docstrings6
idris4
core-platform4
quality-assurance3
kernel3
documentation3
react2
architecture2
operating-system2
typescript2
microcontroller1
Programming languages (5)
Github contributions (5)
abrandnewusername/COMP9021_18S1
Jun 2018 - Nov 2018
Contributions:7 pushes, 1 branch in 5 months
andybui01/camkes-vm
Nov 2022 - May 2023
Virtual Machine built as a CAmkES component.
Contributions:9 pushes in 5 months
as-builtcamkesvirtual-machine
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