Daniel Suh
Machine Learning Computer Vision Engineer at Amazon Fulfillment Technologies & Robotics
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolDaniel Suh is a Machine Learning and Computer Vision Engineer with eight years of experience building production-grade AI systems, currently advancing vision sensing for Amazon Robotics and founding Pensiev. He has a track record of taking research-grade models to edge deployments at scale, optimizing inference on robot fleets and designing pipelines that convert single 2D images into 3D representations. Daniel previously led AI product development at Hosta Labs and contributed mission-critical computer vision and real-time tooling for government and aviation projects at MindsLab, including a live vehicle compliance system in Seoul. His background blends graduate-level CS training with an MS in Business Analytics and early experience in data-driven finance and BI, enabling a pragmatic focus on measurable impact. Notably, he combines hands-on model engineering with systems-level optimizations—GPU/CPU management and labeling tools—that reduced downtime and accelerated annotation from minutes to seconds. Based in Cambridge, MA, he positions himself as a practical ML generalist who moves prototypes into resilient, operational AI services.
8 years of coding experience
5 years of employment as a software developer
Graduate Computer Science, Graduate Computer Science at Seoul National UniversityMaster of Science - MS Business Analytics, Master of Science - MS Business Analytics at Brandeis University
English, Chinese, Japanese, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (2)
Github contributions (5)
DHDanielSuh/Data-Analytics-Projects
Aug 2017 - Oct 2019
Contributions:19 pushes, 1 branch in 2 years 2 months
DHDanielSuh/Utility
Oct 2017 - Oct 2019
Contributions:19 pushes, 1 branch in 2 years
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