Summary
Yixiao 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
1 year of employment as a software developer
Master's degree, Computer Engineering, 3.88/4.0, Master's degree, Computer Engineering, 3.88/4.0 at Northeastern University
Bachelor of Engineering - BE, Automation(Robot Engineering), 3.34/4.0, Bachelor of Engineering - BE, Automation(Robot Engineering), 3.34/4.0 at Beijing University of Technology