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Wei Li is listed as Machine Learning Engineer Intern @ Onki | MSCS 25' @ Northeastern | Mathematics & Computer Science 23' @ HKU | Seeking 2025 Full-Time Machine Learning Engineer/Software Development Engineer at Onki, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Wei Li.
Wei Li previously worked as Perception Machine Learning Engineer Intern at Onki and Graduate Research Assistant at The University Of Hong Kong. Wei Li holds Master Of Science - Ms, Computer Science from Northeastern University.
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I am a computer science professional with a strong focus on perception systems, currently pursuing an MS in Computer Science at Northeastern University. My experience includes developing gaze estimation models and integrating tools like Gaze360, MediaPipe, and YOLO for multi-object tracking, achieving real-time responsiveness and 80% accuracy. I have also worked on advanced machine learning projects, such as building a Smart Walker for dynamic gait analysis and creating CNNs for echocardiogram classification, emphasizing accuracy and scalability in real-world applications.
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Seattle, Washington, United States
Worked on perception systems involving depth data processing, gaze estimation, and real-time multi-object tracking, improving robotic responsiveness in real-time environment.
Hong Kong Sar
Developed a Smart Walker using machine learning for autonomous fall recovery and real-time gait analysis, achieving 90% accuracy. Leveraged hybrid models and transfer learning to enhance dynamic pattern recognition.
Hong Kong, Hong Kong Sar
Developed a CNN-based Cardiac View Classification Network using PyTorch, achieving 95% accuracy in echocardiogram classification. Addressed class imbalance with data augmentation and SMOTE, and ensured reproducibility with Docker-standardized environments.
Hong Kong Sar
Created synthetic 3D human datasets using Blender, automating processes with Python for multi-person and multi-view data. Processed image/3D data with HDRI panorama to support 3D human reconstruction tasks.
Hong Kong, Hong Kong Sar
Developed an adaptive query model using BERT fine-tuning and multi-domain training, improving accuracy by 23.8%. Enhanced precision by 19.5% through domain-specific heuristics and curated datasets.
Hong Kong Sar
Conducted research on DNN approximation for piecewise continuous functions, designing a Python-based model optimized for precision in the [0,1] range. Introduced a novel bifurcation approach to address discontinuities.
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Wei Li works for Onki.
Wei Li is listed as Machine Learning Engineer Intern @ Onki | MSCS 25' @ Northeastern | Mathematics & Computer Science 23' @ HKU | Seeking 2025 Full-Time Machine Learning Engineer/Software Development Engineer at Onki.
Wei Li is based in Seattle, Washington, United States while working with Onki.
Wei Li has worked for Onki and The University Of Hong Kong.
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Wei Li holds Master Of Science - Ms, Computer Science from Northeastern University.
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