@AIoT BG / AI Solution BU - Digital Image Technology division. • Led a software team of 4 engineers to develop AI algorithms based on computer vision to solve practical problems in smart manufacturing. • Experience in people management, including recruiting, new employee training, assigning work, decision-making, resource scheduling and dealing with other departments. • Built the DevOps pipeline for entire division, which is comprised of 60+ engineers, including version control, code style & quality checking, auto build & testing, software license checking, bug tracking and software online update. • Built the MLOps pipeline for entire department, which is comprised of 10 engineers, including data management (DataHub & DataCenter), model training, evaluation, monitoring and deployment. • Built the software architecture based on PyTorch for AI algorithms, which unifies interface, effectively reduce the risk of repeated development and serves as a kernel to extend other features. • Implemented and optimized the AI algorithms (Classification, Object Detection, Segmentation, Anomaly Detection) for products and projects. • Developed an integrated AI model inference engine for Edge AI that supports popular backends such as Torch, OpenVino, ONNX and TensorFlow Lite. • Project experience: > Parking Slot Solution - To identify occupations, incorrect parking, and violations with IP Cam. > AISVision: An Ease-of-use AI Toolkit and SDK (Algorithm owner) - https://iot.asus.com/products/AI-software/AISVision/ > Defect detection on metal surface (Project owner) - The first lead project of smart manufacturing for AIS. Build up the workflow from scratch. > Cost estimation for motherboard component (Project owner) - Reduce the working time of EE team from 1 day to just 10 minutes.

@Phone BU - Digital Image Technology division • Developed ASUS Camera 3A algorithm, primarily focused on AE, and ported them to Intel (Moorefield / CherryTrail) and Qualcomm snapdragon (MSM8937/8953/8956) mobile chips. • Tuned and debugged Camera 3A and ISP for 7 projects. • Familiar with data flow and processing blocks in ISP. • Familiar with camera testing, module calibration and troubleshooting in factory. • Familiar with collaborating with BSP, AP and EE team to optimize camera features. > Optimized the performance of vHDR and row-domain NR in Rockchip's PreISP. > Resolved issues related to IQ, HW, VD, CTS and UX. • Built the specification for conducting the competitor comparison. • Developed an in-house toolkit that provides real-time graphical visualization of the Camera 3A status. • Project experience: > ZenFone Series (ZF3, ZF3 Laser, ZF4 Selfie Pro) > ZenPad Series (S8, Z8, Z10) > Home Robot (Zenbo) - 2016 Design Thinking Award