Yish Lim
Staff Forward Deployed Engineer at Treasure AI
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYish Lim is a Staff Forward Deployed Engineer based in New York with eight years of experience applying machine learning and data science across finance, e-commerce, and education. With formal training in mathematics, economics, and computer science (MS at Georgia Tech and applied ML studies at Columbia), he blends rigorous quantitative thinking with hands-on product deployment and customer-facing ML implementation. At Treasure AI he progressed from professional services to leading AI & personalization, shipping scalable, well-documented ML solutions and advising customers on best practices. He is also an experienced instructor and coach who has taught immersive data science courses and managed hundreds of student projects, translating complex concepts into practical skills. Known for finding narratives in data, he pairs R&D curiosity with a talent for making ML accessible to non-technical stakeholders.
8 years of coding experience
3 years of employment as a software developer
International Baccalaureate Diploma, International Baccalaureate Diploma at St. Joseph’s Institution InternationalBachelor's Degree, Mathematics and Economics, Bachelor's Degree, Mathematics and Economics at New York UniversityApplied Machine Learning, Applied Machine Learning at Columbia EngineeringNYU Global Program: Study Abroad, NYU Global Program: Study Abroad at NYU ShanghaiImmersive Data Science Bootcamp, Immersive Data Science Bootcamp at Flatiron SchoolMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
English, Chinese
Github Skills (5)
nyc9
mechanics3
machine-learning3
classifier3
science2
Programming languages (3)
Github contributions (5)
yishuen/studygroups-040521pt
Apr 2021 - Nov 2021
Contributions:21 commits, 18 pushes, 1 branch in 7 months
yishuen/subreddit-classifier
Jan 2019 - Feb 2020
Contributions:18 commits, 17 pushes, 1 branch in 1 year 1 month
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