Tong Yan Chan

Angestellt, Working Student in Deep Learning and Computer Vision, SIEMENS

Studentin, Informatik, Technische Universität München

Munich, Deutschland

Über mich

- Master student at the Technical University of Munich (TUM) - Working student at Siemens focusing on Deep Learning and Computer Vision - DL/CV experience and Python coding skills via industrial work/labs/research/seminar/projects - Full-time software engineer in Embedded Linux Development with C/C++ for 3 years before starting my Master degree in Munich. Now, I have successfully finished most of my study and am expected to graduate by Mar 2023. Hence, I am looking for a full-time job/internship opportunity. Starting immediately and changing my study to part-time mode is also possible. Work opportunities related to Deep Learning and Computer Vision on (Embedded)Software Development, R&D, or Testing would be ideal for me. I would be interested in any job offers around the world, especially in Germany, UK and Australia.

Fähigkeiten und Kenntnisse

C++
C
Python
Deep learning
Computer vision
Embedded Linux
Machine Learning
Embedded Systems
Embedded Software
Linux
Computer Science
OpenCV
Image processing
Softwareentwicklung
Software
Deep Learning
Object Oriented Programming
Geometry
Computational Geometry
Git
Docker
HTML
CSS
JavaScript
PHP
English Language
Agile Development

Werdegang

Berufserfahrung von Tong Yan Chan

  • Bis heute 2 Jahre und 11 Monate, seit Juli 2021

    Working Student in Deep Learning and Computer Vision

    SIEMENS

    - 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

  • 3 Monate, Feb. 2022 - Apr. 2022

    Working Student in Computer Vision

    UrGrow GmbH

    - 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

  • 3 Jahre und 2 Monate, Sep. 2016 - Okt. 2019

    Software Engineer

    Amino Technologies

    - 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

  • 11 Monate, Aug. 2014 - Juni 2015

    Embedded Software Trainee

    Zetta Systems Limited

    - 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

  • 3 Jahre und 10 Monate, Juni 2009 - März 2013

    Self-employed Web Developer and I.T. Technician

    Senaturals Limited

    - 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)

Ausbildung von Tong Yan Chan

  • Bis heute 4 Jahre und 8 Monate, seit Okt. 2019

    Informatik

    Technische Universität München

    Deep Learning, Machine Learning and Computer Vision

  • 4 Jahre, Sep. 2012 - Aug. 2016

    Computer Engineering

    Hong Kong University of Science and Technology

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

Sprachen

  • Chinesisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Cantonese

    Muttersprache

Interessen

Travel
Music
Snowboarding
Skiiing

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