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Agile Alliance Completed Flashpoint Startup Engineering Program at Georgia Tech Experience Rollins, Inc., NovPresent Advisory Business Analyst • Successfully introduced over 250 enhancements to the CRM/ERP application to fix defects, improve performance, and increase functionality for users • Created new department in Rollins, Inc. for resource planning and optimization of technician’s routes to reduce drive time, drive miles, fuel consumption, and likelihood of accidents • Lead full life cycle of project to change optimization algorithm to new vendor, including vendor discovery, implementation, pilot, and full roll-out which reduced drive miles by approximately 440,000 per month, saving

升產品出貨精準度＞93%。 獲得客戶AZMEE認可，並導入日本升降機大廠(AIRMAN)之產品應用。 學歷碩士學位 逢甲大學(Feng Chia University) 自動控制工程所學士學位 逢甲大學(Feng Chia University) 自動控制工程學系 技能 C/C++ Linux Matlab Python 專長 Image Processing Visual Studio Machine Learning Deep Learning Computer Vision Optimization Algorithms 語言 English — 中階

Excel VBA. Operation Research An optimal analyst possesses 3-year experience deal with optimization problem. Work on and Explore occupations related to algorithms, combinatorics and optimization. Machine Learning Apply reinforcement learning framework to optimization problem with high complexity, huge size and complicated constraints. Focus on MCTS, optimization theory, reinforcement learning and statistical techniques. Optimization Programming • Build a tree-based reinforcement learning optimization algorithm applying ensemble dispatching rules and Monte Carlo Tree Search (MCTS) to solve scheduling problems with huge size under short time constraints /* Patent ID : TWI*/ • Develop a heuristic algorithm method(Lagrangian

Europe (German, Italian) tier-1 clients and to support customers' requirements project management, mentoring and assigning tasks to engineers, leading firmware engineers to deliver projects on time Staff Engineer ADAS/Vision/Radar (1) Surround reconstruction algorithm designD/3D/Object Detection, Object Mask neural network post processing algorithm design. (3) Integrate Radar/vision fusion, multi-sensor fusion (4) ADAS demo cars built for customers, including debugging, testing and data analysis (5) Feature matching algorithm design (6) Radar and camera calibration algorithm design (7) Algorithm optimization (OpenGL/OpenCL, vector processor/accelerator) ISP/IQ

degree, In-service degree program of Master of Information and Electrical Engineering Master's Course ： 1. AI implementation class (Python) 2. PLC implementation class 3. Advanced Electrical Machine Theory Dissertation title： 1. Multi-Objective Optimization Design of a Three-phase Squirrel Cage Induction Motor Using Genetic Algorithm Seminar paper： 1. Multi-Objective Optimization Design of a Brushless DC Motor Using Taguchi Method Based Neural Network Approach(2021電力工程及電力電子研討會) Self-directed learning： 1. Genetic Algorithm 2. Motor design(Stator and Rotor Magnetic design

Engineering. AI/ML Engineer Date of Birth: 1991/8/25 Mobile:E-mail: [email protected] LinkedIn: www.linkedin.com/in/mPROFESSIONAL EXPERIENCE Data Scientist (Computer Vision), TSMC, 2022/4 - Present Super resolution for wafer patch enhancement Computer vision algorithm development. Machine Learning Engineer (Computer Vision), VIVOTEK, 2019//4 Neural Network architecture design and optimization. Computer vision algorithm development. Mechanical Engineer (Vehicle Chassis), HAITEC, 2016//4 Design and develop steering wheel and airbag. SKILLS Programming Python C++ Development Tools

algorithm design, and performance optimization. Following were my contributions during this period. 1. Camera image quality tuning: ．Vignetting and color shading tuning. ．Built up tunning tools to reduce human error and time cost in the tuning process. 2. Zig-zag-patterned raw image interpolation algorithm improvement: ．Mitigated motion artifact. ．Cost reduction: reduced 30% chip area and maintained the output image quality. 3. Color shading algorithm improvement: ．Mitigated color halo and fading. ．Cost reduction/performance improvement in aspect of algorithm. 4. Multi-exposure control for HDR algorithm design