Raymond Wu

Fellow at Make School

Los Angeles Metropolitan Area United States
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Summary

👤
Senior
🎓
Top School
Raymond Wu is a tenacious software engineer and Make School fellow with eight years of hands-on experience building ML-driven products, from PyTorch computer vision models detecting potholes to style-transfer and CoreML mobile classifiers. He blends full-stack web development (React, Flask, Docker, AWS) with deep learning expertise (GANs, ResNet, U-Net, NLP RNNs) and a history of shipping production integrations such as Kepler.gl enhancements used by Unfolded Studio. Raymond has practical experience improving performance and workflows—e.g., nearly 100% speed gains in Kepler.gl by eliminating extraneous rendering—and regularly presents technical talks to engineering audiences. He’s contributed to decentralized governance UI work on Solana and built mapping integrations with OpenStreetMap and Mapillary, showing an aptitude for geospatial pipelines. A former leader in IP enforcement and operations, he brings investigative rigor and process automation skills to engineering problems. Raymond is seeking junior-to-mid software engineering roles where machine learning is integral to product or process.
code8 years of coding experience
job2 years of employment as a software developer
bookCal Poly Pomona
bookDeep Learning I, Deep Learning I at University of San Francisco
bookBachelor's degree, Applied Computer Science, Bachelor's degree, Applied Computer Science at Make School
bookMachine Learning, Machine Learning at Stanford University
languagesEnglish, chinese (mandarin & cantonese)
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Github Skills (60)

algorithm10
data-visualizations10
webgl10
algorithms10
javascript10
visualization10
python10
animation10
rendering10
geospatial10
geojson10
gis10
kepler10
encoding10
computational-geometry10

Programming languages (8)

TypeScriptJavaCSSJavaScriptHTMLSwiftJupyter NotebookPython

Github contributions (5)

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CodeLabs-Hubble-gl/kepler.gl

Jul 2020 - Jul 2021

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Contributions:14 PRs, 41 pushes, 6 branches in 1 year
geospatialdata-setskeplergmlscale
Contributions:19 commits, 17 pushes in 26 days
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