Summary
Guibin Tang is a software engineer with a strong hybrid background in mobile development, computer vision, and production-grade machine learning, now contributing at Microsoft from New York. Over nine years in the field, he has built iOS apps and mobile games, prototyped and optimized deep learning models for object detection, and engineered scalable inference pipelines across AWS, Azure, and GCP. He has hands-on experience accelerating models with TensorRT and TensorFlow Lite GPU delegates, delivering measurable speedups (2x on mobile, ~40% in cloud) without sacrificing accuracy. Guibin combines research-grade experimentation—upgrading TF1 to TF2, large-scale distributed training on 1M+ images—with practical deployment skills using Docker, Celery, RabbitMQ, and cloud services. He seeks opportunities to apply state-of-the-art ML in production systems, bringing a maker’s curiosity and a track record of squeezing latency and cost out of real-world vision pipelines.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Computer Software Engineering, Bachelor of Engineering - BE, Computer Software Engineering at East China Jiaotong University
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Stevens Institute of Technology