Yixiao Chen
Engineer at Motional
Malden, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolYixiao Chen is an applied deep learning engineer and MS in Computer Engineering candidate at Northeastern University with eight years of software and research experience spanning model compression, deployment, and real-time human-computer interaction. He has a proven track record deploying optimized CV and language models—pruning and quantizing large models (including MoE LLMs) and shipping inference on diverse targets from CoreML and TensorRT to AMD Windows with Vulkan/HIP. Past roles combine production-minded engineering (C++, C#, .NET tooling and CI at Cognex) with academic research (YOLO migration and INT8 quantization for specialized GPUs), enabling him to bridge algorithmic research and practical system constraints. Based in Boston, he’s particularly focused on efficient edge and cloud inference for vision and conversational AI, and has hands-on experience integrating LLMs with TTS and digital avatars for real-time interaction. An often-overlooked strength is his ability to port and optimize models across frameworks and hardware—turning experimental architectures into deployable systems.
8 years of coding experience
3 years of employment as a software developer
Master's degree Computer Engineering, Master's degree Computer Engineering at Northeastern UniversityBachelor of Engineering - BE Automation(Robot Engineering), Bachelor of Engineering - BE Automation(Robot Engineering) at Beijing University of Technology
Github Skills (29)
deepspeed9
rdma7
snippet7
llm7
llm-inference7
llama7
responsive-design7
lazy-loading7
hexo6
reinforcement-learning5
gitbook4
key-value4
inference4
tikv4
ai3
Programming languages (8)
Github contributions (5)
poorpool/minic
Jan 2021 - Jan 2022
Contributions:18 commits in 11 months
poorpool/TinyKV-of-poorpool
Dec 2020 - Jan 2021
Contributions:38 commits in 1 month
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