Relevant Experience & Education Highlights

Brings deep expertise in ROS2-integrated robotics navigation, GPU-accelerated algorithms with CUDA and PyTorch, sensor fusion, and real-world autonomous systems deployment, strongly aligning with designing risk-aware Field Foundation Models and Dynamics Foundation Models.

1. Algorithm Development

Designed advanced AI-powered models and planning algorithms for navigation, perception, and optimization in dynamic environments.

• Developed visual SLAM auxiliary navigation system incorporating sensor fusion with IMU and LiDAR SLAM, fast initialization, map fusion, and memory management for automated material delivery robots at a large manufacturing company's emerging technology center.
• Implemented robust lane keeping algorithm using RGB images from ultra-low viewpoints, leveraging C++ and CUDA programming within ROS2 at a large manufacturing company's emerging technology center.
• Created neural network models for accelerated MRI reconstruction using incomplete raw data with PyTorch for training on Ubuntu and C++ libtorch for Windows deployment, alongside customizing denoising diffusion probabilistic models at a consumer technology research lab.
• Accelerated feature extraction and descriptor calculation algorithms using C++ ARM Neon, improving vSLAM frame rate from 3fps to 6fps on ARM Cortex M4 processors at a large manufacturing company's emerging technology center.

2. Software Integration and Testing

Integrated and tested autonomous intelligence modules using ROS2, real-time systems, and learning loops for reliable performance.

• Utilized ROS2 with C++ multithreading for real-time embedded systems in visual SLAM navigation and lane keeping for factory robots at a large manufacturing company's emerging technology center.
• Developed offline map management system performing interactive large-scale graph-based optimization to enhance map accuracy, robustness, and coverage using C++ on Ubuntu at a large manufacturing company's emerging technology center.
• Applied sensor fusion technology with millimeter-wave radar, audio, and light sensors for human perception and monitoring at a health technology company.
• Led development of imaging algorithms for fluorescence microscopy systems using C#, Matlab, CUDA programming, and C++/CLI at a medical imaging company.

3. Hands-On Robotics Deployment

Deployed and fine-tuned robotic systems in industrial factory environments, ensuring seamless software-hardware integration.

• Engineered autonomous material delivery robots with visual SLAM, lane keeping, and map management for real-world factory deployment at a large manufacturing company's emerging technology center.
• Directed imaging team in designing automated fluorescence microscopy imaging and analysis systems for cancer diagnostics, including specifications and documentation at a medical imaging company.
• Developed nucleus segmentation methods using tensor voting and local adaptive thresholding, reimplemented from Matlab to C++ for robust detection on IHC slide images at a large manufacturing company's emerging technology center.

Requirements & Candidate Alignment