Rhys Compton
Student at New York University
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRhys Compton is an ML-focused software engineer and current MS student at NYU with nine years of hands-on experience building production-ready AI systems across healthcare, agriculture, and SEO. A 2020 Fulbright Scholar and Waikato Engineering (Hons) alumnus, he has published at top-tier ML venues and contributed research that improved medical chatbot naturalness and emotion detection from limited data. Rhys combines deep learning research with pragmatic engineering—shipping Faster-RCNN detection on edge devices, deploying GPT-based NLG as scalable APIs, and building end-to-end C#/NoSQL products as a sole contractor. Based in San Francisco, he excels at turning novel prompting and synthetic-data ideas into reproducible pipelines and papers, bridging academic rigor with product delivery.
9 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at New York UniversityBachelor of Engineering (Hons), Software Engineering, A+, Bachelor of Engineering (Hons), Software Engineering, A+ at The University of Waikato
Github Skills (111)
python10
differentiation10
deep-learning10
gpu10
modular10
onnx10
clojure10
nlp10
math-library10
artificial-intelligence10
spark10
deploying10
jvm10
java10
scala10
Programming languages (8)
Github contributions (5)
basedrhys/obfuscated-code2vec
Aug 2019 - May 2021
Code for the paper "Embedding Java Classes with code2vec: Improvements from Variable Obfuscation" in MSR 2020
Contributions:1 release, 63 commits, 10 PRs in 1 year 9 months
code2vecobfuscationmsrimprovementsjava
basedrhys/global-stock-vis
May 2019 - Apr 2021
Visualisation of financial stock data using CesiumJS
Contributions:35 commits, 5 PRs, 8 pushes in 2 years
financialpythonvisualisationjavascriptnodejs
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