Ted Yap is a data-driven software engineer and entrepreneur with 8 years of experience building ML-powered products and pipelines, now co-founding Oompf in New York. He blends applied AI and data engineering expertise from roles at Beamery and Firsthand—where he designed recommendation engines and productionized AI features—with research experience at NYU Langone and internships focused on NLP and cloud ETL. Currently completing an MS in Data Science at NYU, he moves comfortably between prototyping models and shipping scalable systems on AWS and GCP. Notably, his background includes hands-on production ML work and a stint learning end-to-end ML pipeline construction at Insight Data Science, giving him a pragmatic approach to turning experiments into reliable product features.
8 years of coding experience
5 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at New York University
International Summer Campus, International Summer Campus at Korea University
Bachelor of Science Mathematics and Computer Science Minor in Finance, Bachelor of Science Mathematics and Computer Science Minor in Finance at Illinois Wesleyan University
Text anomaly detection with ARAE and AnoGAN in Tensorflow 2.0
Contributions:10 commits, 7 pushes, 1 branch in 4 months
anomaly-detectiontensorflow
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