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.
.
C / C++ / Python / C# / Javascript
MySQL
Git / Jira / Agile
Chinese (Native)
Taiwanese (Native)
English (Conversational)
Docker / Flask / Unity / Phaser / Windows Form / PyTorch / TensorFlow / Pandas
RESTful API / Database design / Unity Game Design / Object-Oriented Design / Deep Learning / Computer Vision / Model Quantization / Data Visualization
2020 - 2022
2015 - 2019
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
Mar 2022
• Implemented diagnostic machine learning (Scikit‑learn, Pandas)& deep learning algorithm (Pytorch & Keras)
• Developed unity game running on All‑In‑One VR headset(Android OS)
• Designed backend Flask server RESTful API endpoint & MySQL database schema
• Used docker to deploy backend services
• Tracked issues with Jira
Jan 2022 - August
• Implemented web frontend game with Phaser
• Implemented cloud‑save backend system
• Integrated Node.js Express and MySQL and front‑end Phaser
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.
.
C / C++ / Python / C# / Javascript
MySQL
Git / Jira / Agile
Chinese (Native)
Taiwanese (Native)
English (Conversational)
Docker / Flask / Unity / Phaser / Windows Form / PyTorch / TensorFlow / Pandas
RESTful API / Database design / Unity Game Design / Object-Oriented Design / Deep Learning / Computer Vision / Model Quantization / Data Visualization
2020 - 2022
2015 - 2019
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
Mar 2022
• Implemented diagnostic machine learning (Scikit‑learn, Pandas)& deep learning algorithm (Pytorch & Keras)
• Developed unity game running on All‑In‑One VR headset(Android OS)
• Designed backend Flask server RESTful API endpoint & MySQL database schema
• Used docker to deploy backend services
• Tracked issues with Jira
Jan 2022 - August
• Implemented web frontend game with Phaser
• Implemented cloud‑save backend system
• Integrated Node.js Express and MySQL and front‑end Phaser