Tong Yan Chan

- Developing a rail detection method on 3D point cloud to extract the railway network in Python - Preparing datasets and Docker images for training, experiments and analyses - Implemented the backend 3D reconstruction pipeline and mesh analysis at multiple views for factories

- Developed C++ programs to collect plant datasets involving computer vision algorithms - Created docker images to test and run the programs in a CI/CD pipeline

- Maintained and resolved software bugs on TV box solutions for top TV providers like PCCW, T-Mobile - Wrote automated tests in C, C++, JavaScript and Shell Script on Jenkins for CI/CD pipelines - Ported and maintained multimedia players for VUDU, Netflix, YouTube on the devices - Developed new features, such as Bluetooth, speech-to-text, and their interfaces on an embedded browser - Fixed video codec and hardware issues related to playback and HDMI

- Developed streaming security IP cameras, which were sold across the globe, in early stage with C/C++ - Tested and reported the features of an embedded Linux microprocessor, e.g., sensors, audio speaker, etc. - Studied video codec and muxed H.264 byte-stream and PCM audio data into MP4 or MKV container

- Built the company website in HTML/CSS/PHP that bought 8000+ views/month - Provided I.T. support in the office and set up the company’s Facebook Page - Acquired the job opportunity in high school by self-taught web development and computer skills (The company has been closed permanently)

Deep Learning, Machine Learning and Computer Vision

- Final Grade: 1.8 equivalent in German system (Graduated with First Class Honors) - Final Year Project: “Image Analyzer for People with Low Vision”