I am Jingbo, a CS Masters student from Stanford University. I am interested in all things related to Artificial Intelligence, including Natural Language Processing, Computer Vision and Reinforcement Learning. As a software engineer, I stand firmly behind writing high quality production code, even for personal and research projects. Code readability and experiment reproducibility is key to the sucess of any project.
Previously, I was an Engineering Science student and received BASc. from University of Toronto (1T7+PEY). I've had a few internships and have taken part in many research projects. Oh, also, I have built rockets! I'm sure few software engineers have worked on computational fluid dynamics modeling for rockets.
Master of Science in Computer Science
2018.09 - 2020.06
Bachelor of Appliced Science in Engineering Science
University of Toronto
2013.09 - 2018.06
Software engineering rotation program.
FX and futures market making.
Front office data engineering.
Intelligence financial statement analysis.
EEG analysis for depression.
Self-supervised learning for chest X-ray.
Driver identification from driving behaviour.
FPGA device property database management.
Optimization for device compilation process.
C++ Compiler migration.
Geological data management.
3D geometry error analysis.
Introduction to Python Jupyter Notebook
Introduction to Deep Learning Slides
Rocket airframe performance analysis. Oxydizer injector design.
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