Organization and management: 1. Direct report to CEO. 2. Lead 4 divisions (8 technical teams): AI model / Data / Algorithm / Android APP / Web / Cloud / FAE / QA 3. Total 20 RD members, including 4 division heads, 4 team leads 4. Talent growing: 2 team leaders from engineer level, 1 division head from team leader level. Department operation: 1. Breakdown company goals, and define long / mid / short term targets for RD department 2. Regularly review the target progress and deliverables of each divisions or teams 3. Develop and promote talents 4. Department Annual Budget Allocation 5. Quarterly report in board meeting Key technologies: 1. Classification model 2. Object detection model 3. OCR recognition 4. Face landmark 5. Video base object depth estimation

Automation: 1. Manager of automatic machine R&D department, 2 sections: a. Mechanical/Electrical section b. Automatic optical inspection section Lead the team to achieve revenue: Avg USD170,000 per year. (6-10 members) 2. The highest precision of die bonder performs 3um max-min variation die bonding result. AI/AOI machine performs 1um defect inspection with 99%+ accuracy. 3. Coordinate project request and formulate system structure. 4. Team management activity establishment: a. Monthly seminar b. Weekly hardware/software teams meeting c. Annual team/personal performance target setting d. 3 years team target setting e. New tech./skills deployment Light transceiver process (Since 2022 Mar.): 1. Acting manager of light transceiver process of TW site. 2. Coordinate with PM team for NPI plan and targets. 3. Review product design proposal and advise for DFM. 4. Design process for NPI and come out production cost. 5. Optimize process for cost improvement. 6. Lead the team to achieve targets. Key technologies: 1. Object detection model 2. Segmentation model 3. OCR model 4. CV-based image processing 5. Statistical data analysis, RANSAC 6. Pattern matching 7. Software architecture (Modularize, design pattern, unit test) 8. PC-based motion control (Ethernet, EtherCAT)

1. Acting the manager of automation development department. 2. Responsible for the managing and planning of automatic optical inspection section. 3. Design and deploy team development plan of the whole department.

Automatic Optical Inspection department leader. Team build and establish management from zero. Recruiting, team resource allocation, working KPI setting. Technique deployment for 5-year plan. Projects management and allocation. Team budget planning and control. Delivered 3 AOI in-house designed devices.

1. Software project leader of TV software team, handled more than 5 projects in 3 years. All of the projects from DVT to MP smoothly on time. 2. Ginga function owner in TPE site for all Latam projects. Key technologies: 1. Linux/Android TV system AP layer development 2. Panel sequence 3. Power sequence 4. On screen display (Ginga) API 5. Picture quality Awards: 2016 Best Meritorious Group @ Jan 2017 Responsibility: Project Leader Comments: The Philips 2K16 TV brand new customized user experience development.

1. Linux TV application layer embedded system programmer. Mainly on Linux system. 2. Ginga function owner in TPE site. 3. Representing for TPV TPE team, took business trip to Brazil, built up a workshop with TPV Brazil team/NovaTek team for porting TPV Ginga function on a brand new platform. Awards: 2015 TPV Best Innovation Group @ Dec 2014 Responsibility: Project Leader Comments: The first driver-based project in TPV OBM.

Mainly involved in the automatic machine development projects to replace operators by machine. In order to improve the efficiency of product line, and reduce the number of people. Key technologies: 1. Manufacture automation 2. AVR single chip firmware development 3. CV-based image processing 4. ODD product firmware development