Chenchong Zhu
Machine Learning Engineer at Loblaw Digital
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolChenchong Zhu is a machine learning engineer with 11 years of experience applying scientific software practices to real-world problems, currently building recommendation systems at Loblaw Digital in Toronto. He brings a rare combination of computational astrophysics rigor and production ML engineering, having developed high-performance Python packages for radio astronomy and optimized data pipelines for city-scale transportation analytics. His background includes deploying web applications and geospatial clustering tools, crafting mixed-integer and spatio-temporal models, and productionizing code for supercomputing environments. Comfortable across the stack—Python, Postgres, QGIS, Plotly, Flask, AWS—he excels at turning noisy, large-scale scientific and civic datasets into actionable products. Colleagues describe him as methodical and mentorship-minded, with a track record of documenting and scaling research code into maintainable, team-oriented systems.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics and Astronomy, Bachelor of Science (B.Sc.), Physics and Astronomy at The University of British ColumbiaDoctor of Philosophy (PhD), Astronomy and Astrophysics, Doctor of Philosophy (PhD), Astronomy and Astrophysics at University of Toronto
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (64)
astronomy10
elevation10
coders10
core-library9
reduction9
python9
astrophysics9
orbital-mechanics9
plotly9
documentation-generator9
open-data9
astrology9
keras9
astrodynamics9
science9
Programming languages (3)
Github contributions (5)
cczhu/data_drabble
Mar 2019 - Jul 2021
Miscellaneous assortment of notebooks about data science
Contributions:12 PRs, 33 pushes, 11 branches in 2 years 3 months
pythonmiscellaneoussciencedata-sciencemachine-learning
CityofToronto/bdit_traffic_prophet
Jun 2019 - Jul 2021
Suite of algorithms for predicting average daily traffic on Toronto streets
Contributions:28 PRs, 139 pushes, 32 branches in 2 years
machine-learningstreetstrafficaveragesuite
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