Chenchong Charles Zhu
Software Engineer
Old Toronto, Ontario, Canada
Summary
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SeniorChenchong 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
Github Skills (52)
python10
astronomy10
keras10
coders10
core-library9
reduction9
convolutional-neural-networks9
astrophysics9
data-processing9
documentation-generator9
open-data9
jupyter-notebook8
prediction8
science8
deep-learning8
Programming languages (4)
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_triplinker
Jun 2019 - Sep 2019
Python package to link vehicle-for-hire trips together into driver work shifts
Contributions:18 commits, 8 PRs, 48 pushes in 3 months
driverpython
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