# Yun-Jou Lin > Computer Vision Engineer Location: Menlo Park, California, United States Profile: https://flows.cv/yunjou With more than 5 years of industrial research and engineering experience in 3D reconstruction and mapping, I possess a strong background in SLAM, computer vision, photogrammetry, and image/LiDAR point cloud processing. I am experienced in 2D and 3D mapping from UAVs, vehicles, and mobile devices, with a solid understanding of multi-sensor calibration and multi-data integration (camera, LiDAR, GPS/IMU, etc.). In XR product development, I am experienced in SLAM system and hand tracking system development. I also have extensive experience in multimodal large language models (MLLM) and visual language models (VLM), focusing on developing and deploying algorithms for visual understanding tasks. ## Work Experience ### Computer Vision Software Engineer @ Meta Jan 2024 – Present | Burlingame, California, United States ### Staff Engineer, 3D Sensing @ OPPO Jan 2021 – Present | Palo Alto, California, United States Multimodal LLM product development • Implement the pipeline for model deployment on Qualcomm NPU • Design a data generation pipeline for visual understanding task, improving data quality and model training. • Train and evaluate the accuracy of VLM models for the visual understanding task XR product development: Hand and upper body tracking system • Enhanced the accuracy of hand detection (DetNet) and keypoint extraction (KeyNet) in XR system. • Trained models using a combination of synthetic and real datasets for improved performance. • Designed and implemented the real data and synthetic data generation pipeline for upper body datasets. XR product development: SLAM system development • Develop SLAM mapping module to achieve accurate localization for MR effects while ensuring low power/memory/cpu usage on mobile devices (including system architecture and comprehensive algorithms development/optimization, etc.) • Design and implement relocalization evaluation tools to validate recall rates and accuracy, both with and without ground truth data • Collaborated closely with academic institutions, including Tsinghua University and Carnegie Mellon University, on collaborative research projects ### Senior Member Of Technical Staff @ REscan Jan 2018 – Jan 2021 | Menlo park, CA • Proposed and developed algorithms for large scale indoor mapping and localization system using mobile multi-camera and IMU platform • Architected and optimized the algorithms, such as data serialization, image matching, feature tracking, pose estimation, re-localization, and bundle adjustment • Performed software development and testing using C++ and additional software packages and solutions as necessary, such as OpenCV and PCL • Designed and developed algorithms to improve navigation system and reconstruct 3D models using Lidar point clouds ### Ph.D. Student Research Assistant @ Purdue University Jan 2015 – Jan 2018 | West Lafayette • Developed a calibration procedure for terrestrial/airborne mobile LiDAR/Camera mapping systems • Implemented a new approach to estimate lane width from LiDAR point clouds using terrestrial mobile mapping systems • Proposed an algorithm to extract the pre-defined objects from LiDAR point cloud data and quantify the deformation of the objects • Developed a new segmentation algorithm to model planar and linear/cylindrical features using point cloud data • Proposed a building model reconstruction strategy using airborne LiDAR point clouds • Developed an adaptive point cloud sampling approach by analyzing the characteristic of point clouds • Mentored undergraduate students regarding course project ### Master Student Teaching/Research Assistant @ National Central University Jan 2011 – Jan 2012 • Developed a building model reconstruction strategy using Airborne LiDAR point cloud and aerial imagery • Taught the class – Surveying Practice – to undergraduate students • Trained undergraduate students using surveying instruments, such as level and total station, in the surveying practice class ## Education ### Doctor of Philosophy (Ph.D.) in Civil Engineering / Geomatics Purdue University ### Doctor of Philosophy - PhD University of Calgary ### Master of Science (MS) in Civil Engineering National Central University ### University of Calgary ### University of Calgary ## Contact & Social - LinkedIn: https://linkedin.com/in/yun-jou-lin-0373ba85 --- Source: https://flows.cv/yunjou JSON Resume: https://flows.cv/yunjou/resume.json Last updated: 2026-04-12