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4-6 tahun
6-10 tahun
10-15 tahun
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Taipei, Taiwan
Web Engineer @BlendVision2023 ~ Sekarang
・
Senior iOS Developer / Web Developer
Dalam satu bulan
arrange the Slack notification to notify the members of the dev team. Streaming I possess video streaming technologies like HLS and DASH , along with an understanding of DRM solutions such as FairPlay , and PlayReady . I can implement DRM video playback for commercial needs and further enhance it with image processing techniques. Others I have hands-on experience with Raspberry Pi , Bluetooth technology, and web development. Passionate about creating diverse tech applications and providing professional solutions. 工作經歷 BlendVision (KKStream), SepNow Developing a Video Player Module which is applied on an app within the
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Ilan University
・
Bachelor degree
Data Science @Alfred Labs.2017 ~ Sekarang
・
Dalam dua bulan
System. Auto-alarm system. EDUCATION University of Taipei, BS, Computer Science, 2012 ~ 2017 Transferred from the Mathematics department to the Computer Science department. The graduation thesis focused on analyzing user preference for phrases on the message board PTT. Mathematics Number theory, Calculus, Linear algebra, Abstract algebra, Probability theory, and Statistics. Computer Science Database Systems, Introduction to Machine Learning, Introduction to Image Processing , Introduction to Data Mining , Discrete Mathematics, Java, Data Structures, Digital System Design, Operating Systems, Algorithms, Digital Circuit Laboratory, Computer Network, System Programming, Assembly Language, Computer Architecture, Formal Languages and Autom...
4-6 tahun
University of Taipei
・
Computer Science
Deep Learning Engineer @Asus 華碩電腦股份有限公司2022 ~ Sekarang
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AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Dalam enam bulan
Sudah bekerja
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Tidak terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立中山大學
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資工工程學系Siswa/Mahasiswa
Magang / Tertarik bekerja jarak jauh
4-6 tahun
長榮大學
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企管系Paket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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Definition of Reputation Credits
Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
Communication
Ability to convey information effectively and is willing to give and receive feedback.
Time Management
Ability to prioritize tasks based on importance; and have them completed within the assigned timeline.
Teamwork
Ability to work cooperatively, communicate effectively, and anticipate each other's demands, resulting in coordinated collective action.
Leadership
Ability to coach, guide, and inspire a team to achieve a shared goal or outcome effectively.
Latar Belakang Profesional
Status sekarang
Tahap pencarian kerja
Profesi
Data Engineer
Bidang Pekerjaan
Software
Pengalaman Kerja
1-2 tahun pengalaman kerja (Kurang dari satu tahun relevan)
Management
Keterampilan
Bahasa
Chinese
・
Bahasa ibu atau Bilingual
English
・
Profesional
Preferensi Pencarian Pekerjaan
Jabatan
Image processing, machine learning, parallel computing, software engineer
Tipe Pekerjaan
Full-time
Lokasi
Taipei, 台灣, Japan, United States, Canada, Australia, Taiwan, China, Singapore, Hong Kong, Taichung, 台灣, Tainan City, 台灣, Kaohsiung City, 台灣, Hsinchu City, 台灣, Hsinchu County, 台灣
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Pendidikan
Institusi Pendidikan
National Central University
Jurusan
Master of Science Computer Science and Information Engineering
Overview
- Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
- C/C++ over 5 years.
- Python over 4 years.
Skills
- Proficient programming language: C, C++, Python, Julia, SQL
- Machine learning framework: Keras
- Image processing library: OpenCV, scikit-image
- Web backend framework: Django
- Web frontend framework: Vue
- CI/CD: GitHub Actions
- Monitoring: Prometheus, Grafana
- DevOps: Docker
Work Experience
Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.
Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
- QSIS-Data-Acquisition-System
◼ socket.io, Obspy, RasberryPI, qemu-user-static
◼ Create low-cost seismometer only costs 5,000 NTD.
◼ Reduce firmware update time from ten to three minutes. - Seismic-wave analysis program (min-max, FFT, gap, overlap)
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.◼ Outperform SAC when encountering data with gaps.
- TAPs website (https://taps.earth.sinica.edu.tw/)
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana◼ Reduce data query time by 75%.◼ Solve zombie process problem when running C shell in Docker.
Projects
SLIC.jl
- Implement SLIC algorithm (with enforcing connectivity) in Julia.
vface-server-cpp
- Low cost VTuber-project.
- Detect face key points using C++, OpenCV, and Dlib in 10 ms.
- Send information to web client via Websocket.
Education
National Central University, Sep 2017 ~ Jun 2019
- Master of Computer Science and Information Engineering
- Overall GPA: 3.34/4.0
- Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning
- Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
- Create a fish image dataset containing at least 800 images with labeling
National Central University, Sep 2013 ~ Jun 2017
- Bachelor of Computer Science and Information Engineering
- Overall GPA: 3.35/4.0
Award
Outstanding Graduate Teaching Award
- 3rd place of excellent achievement in teaching assistance
Certificate
Fundamentals of Accelerated Computing with CUDA C/C++
Academic
Course TA
- Robot Design
- Embedded System Design
- Experiment of Digital Design
Extracurricular Activities
Member, Sep 2014 ~ Jul 2016
Networking and Open Source Community Club
- Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.
Freelance Writer, Dec 2019 ~ Present
Analytics Vidhya, Medium
- Featured writer about Machine Learning and Image Processing.
Overview
- Full of enthusiasm and solid experience in image processing and machine learning over 3 years, parallel computing over 1 year.
- C/C++ over 5 years.
- Python over 4 years.
Skills
- Proficient programming language: C, C++, Python, Julia, SQL
- Machine learning framework: Keras
- Image processing library: OpenCV, scikit-image
- Web backend framework: Django
- Web frontend framework: Vue
- CI/CD: GitHub Actions
- Monitoring: Prometheus, Grafana
- DevOps: Docker
Work Experience
Cloud Engineer in Test, Sep 2020 ~ Present
Trend Micro Inc.
Research Assistance, Feb 2020 ~ Aug 2021
Academica Sinica
- QSIS-Data-Acquisition-System
◼ socket.io, Obspy, RasberryPI, qemu-user-static
◼ Create low-cost seismometer only costs 5,000 NTD.
◼ Reduce firmware update time from ten to three minutes. - Seismic-wave analysis program (min-max, FFT, gap, overlap)
◼ Self-created tool for seismic data quality control.
◼ Use libmseed to manipulate miniSEED 3.x format data.◼ Outperform SAC when encountering data with gaps.
- TAPs website (https://taps.earth.sinica.edu.tw/)
◼ Django, GraphQL, Vue, MySQL, Dramatiq, RabbitMQ, GitHub Action, Prometheus, Grafana◼ Reduce data query time by 75%.◼ Solve zombie process problem when running C shell in Docker.
Projects
SLIC.jl
- Implement SLIC algorithm (with enforcing connectivity) in Julia.
vface-server-cpp
- Low cost VTuber-project.
- Detect face key points using C++, OpenCV, and Dlib in 10 ms.
- Send information to web client via Websocket.
Education
National Central University, Sep 2017 ~ Jun 2019
- Master of Computer Science and Information Engineering
- Overall GPA: 3.34/4.0
- Diploma thesis: Fish Image Segmentation and Classification System Design Based on Deep Learning
- Create a segmentation and classification system with Mask R-CNN and ResNet-50 classifier for recognizing 41 kinds of fish with 85% of Top-1 classification accuracy of species recognition.
- Create a fish image dataset containing at least 800 images with labeling
National Central University, Sep 2013 ~ Jun 2017
- Bachelor of Computer Science and Information Engineering
- Overall GPA: 3.35/4.0
Award
Outstanding Graduate Teaching Award
- 3rd place of excellent achievement in teaching assistance
Certificate
Fundamentals of Accelerated Computing with CUDA C/C++
Academic
Course TA
- Robot Design
- Embedded System Design
- Experiment of Digital Design
Extracurricular Activities
Member, Sep 2014 ~ Jul 2016
Networking and Open Source Community Club
- Full attendance for every event and always try my best to learn some new technique such as Git, Linux, Python, Ruby, etc.
Freelance Writer, Dec 2019 ~ Present
Analytics Vidhya, Medium
- Featured writer about Machine Learning and Image Processing.