Kevin Sun
Machine Learning Engineer at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKevin Sun is a machine learning engineer at Meta focusing on Instagram feed relevance and ranking, with prior software engineering experience building cloud services at Microsoft Azure. A Jerome Fisher M&T graduate with dual degrees in Computer Science and Statistics plus an MS in Data Science, he blends rigorous technical foundations with applied ML across NLP, vision, and large-scale systems. He has shipped production features and tooling—from Azure Static Web Apps and App Service Environment work to backend refactors and visualization tooling for an arbitrage-detection crypto project—showing strength in bridging algorithms and engineering. Kevin enjoys translating data into compelling narratives and often draws interdisciplinary connections to economics, finance, and entrepreneurship, reflecting a product-minded approach to ML. Based in New York, he brings a decade of hands-on experience and a track record of turning prototypes into customer-facing services.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science in Economics - BS Statistics, Bachelor of Science in Economics - BS Statistics at The Wharton SchoolHigh School, High School at Phillips AcademyJerome Fisher M&T ProgramMaster of Science in Engineering Data Science, Master of Science in Engineering Data Science at University of Pennsylvania
English, Chinese, Latin
Github Skills (14)
arb10
ccxt10
python10
algorithmic-trading10
flask10
flask-ask10
asyncio10
trading-bot9
trading-algorithms9
networkx9
api8
apim8
cryptocurrency8
api-design8
Programming languages (6)
Github contributions (5)
wardbradt/peregrine
Feb 2018 - Feb 2018
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 1 PR, 1 comment in 7 days
Contributions summary:Kevin's contributions center around refactoring existing code and integrating new features, focusing on the core functionality of the project. This includes modifying the `OpportunityFinder` class to accept exchange objects and merging branches. Further development includes the addition of a flask application for visualization of graphs. These modifications suggest a focus on improving existing logic and presentation of project outputs.
arbitrage-botalgorithmic-tradingpythontrading-botbellman-ford
ksun0/pyanalytics
Jan 2018 - Feb 2018
Contributions:31 commits, 2 PRs, 28 pushes in 1 month
apianalyticspythonanalytics-apigoogle-analytics-api
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