Summary
Harry Nguyen is a software engineer with 8 years of experience building cloud-native ML infrastructure and robotics systems, currently architecting low-latency inference pipelines at Amazon Fulfillment Technologies & Robotics. He combines a research background in 3D LiDAR-based object detection from the University of Waterloo with hands-on robotics and embedded systems experience from SUTD and Savioke, enabling practical end-to-end solutions from sensor to production model. Proficient in AWS serverless stacks (Lambda, DynamoDB, S3, SQS, SageMaker), Java, and Python, he focuses on scalable, reliable data pipelines and backend services that optimize model throughput. Notably, his work spans both research-grade point-cloud ML (SECOND, PointPillars, PV-RCNN) and production operational readiness, reflecting a data-centric engineering approach that accelerates turning experiments into production-quality AI.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering, Engineering Product Development, Magna Cum Laude, Bachelor of Engineering, Engineering Product Development, Magna Cum Laude at Singapore University of Technology and Design (SUTD)
Master of Science in Computer Engineering, Machine Learning, 94.75/100, Master of Science in Computer Engineering, Machine Learning, 94.75/100 at University of Waterloo
Vietnamese, English