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TOEIC® Listening and Reading Test : 830

Educational Testing Service (ETS)

Good at converting caffeine into code.

Oswald Wang 王俊隆 , a Master of Science in Computer Science graduate from National Central University. A fresh software engineer with a passion for teamwork and collaboration, experienced in a range of programming languages and development environments. Recently achieved first place in the IEEE ICME 2022 Grand Challenge in computer vision. 

I enjoy working on projects that challenge and expand my skills, such as deep learning and studying up-to-date with the latest technologies and trends. 

Believes in the power of teamwork and open communication to create effective and innovative solutions. Committed to fostering positive and productive work environments.

✏𝗦𝗞𝗜𝗟𝗟𝗦
▪ 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠
C / C++ / Python / C# / Javascript

▪ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞
MySQL

▪ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭
Git / Jira / Agile

▪ 𝐂𝐥𝐨𝐮𝐝 𝐬𝐞𝐫𝐯𝐢𝐜𝐞 / 𝐅𝐫𝐚𝐦𝐞𝐰𝐫𝐨𝐤
Docker / Flask / Unity / Phaser / Windows Form / PyTorch / TensorFlow / Pandas

▪ 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞
RESTful API / Database design / Unity Game Design / Object-Oriented Design / Deep Learning / Computer Vision / Model Quantization / Data Visualization

💻 𝗠𝘆 𝗪𝗘𝗕𝗦𝗜𝗧𝗘𝗦

▪ 𝗥𝗲𝘀𝘂𝗺𝗲: https://drive.google.com/file/d/1RPDpW3-hFF0OjBozDuZipe6EXPaIzcJI/view?usp=sharing

- Lead author of paper of Low-power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene in Asian Countries, IEEE ICME 2022 Grand Challenge

- Co-author of paper of Portable VR-based Concussion Diagnostics of Mild Traumatic Brain Injury, IEEE Eurasia Conference on IOT, Communication and Engineering

國立中央大學 National Central University

國立臺灣師範大學 National Taiwan Normal University

Software Engineer

Oswald Wang (王俊隆)

2022 聯發科技AI競賽 IEEE ICME 2022 Grand Challenge: Low‑power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene in Asian Countries

•  Training Deep Learning model DDRNet to minimize the power consumption and speed on MediaTek Dimensity 9000

•  Implemented Deep Learning model with Pytorch and OpenCV

•  Deploy PyTorch model to TensorFlow Lite with post-quantization

• Ranked 1st in the competition

Oswald Wang (王俊隆)’s posts