Andy Fang
Software Engineer AI ML at Annapurna Labs
California, United States
Summary
👤
Senior🎓
Top SchoolAndy Fang is a software engineer specializing in AI/ML performance who optimizes LLM training and inference for Trainium at Annapurna Labs after building smart NIC resource management at Google Cloud. With nine years of experience and an MS in Robotics from Carnegie Mellon, he blends deep systems engineering with research-driven ML and computer vision expertise. His background spans full-stack performance engineering, network infrastructure, and academic work on robust perception and biometrics—where he helped produce state-of-the-art iris presentation-attack detection and organized a community evaluation. Comfortable moving between production systems and research prototypes, he focuses on squeezing latency and throughput gains out of specialized hardware. Based in California, he brings a rare combination of low-level systems know-how and algorithmic insight that accelerates ML from model design to high-performance deployment.
9 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Nanjing Foreign Language SchoolBachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at University of Notre DameMaster of Science - MS, Robotics, Master of Science - MS, Robotics at Carnegie Mellon University
Github Skills (21)
simulator9
robotics9
iris-recognition9
computer-vision8
simulation8
ai7
high-performance7
raspberry6
segmentation5
pytorch4
face-generation4
tensorflow4
raspberry-pi4
reinforcement-learning3
face3
Programming languages (3)
Github contributions (5)
zfang399/LeetCode-Problems
Jun 2017 - Sep 2018
Contributions:563 commits, 548 pushes, 1 branch in 1 year 3 months
zfang399/AlignNet
Feb 2020 - Jan 2021
Contributions:12 commits, 9 pushes, 5 comments in 10 months
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