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上級
On
4〜6年
6〜10年
10〜15年
15年以上
United States
無職
・
面接の用意ができています
フルタイム / リモートワークのみ
6〜10年
University of Science and Technology Beijing
・
Computer ScienceSenior Engineer @Taiwan Semiconductor Manufacturing Company(TSMC)2024 ~ 現在
・
R&D Engineer
1ヶ月以内
就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
6〜10年
National Central University
・
Mechanical Engineering就職中
・
就職を希望していません
フルタイム / リモートワークに興味あり
4〜6年
National Taiwan Normal University
・
Electrical Engineering
Senior Software Engineer @IBM2021 ~ 現在
・
Senior Software Engineer
1年以上
hunters Redesign internal framework to turn Python2-CentOS based modules into Python2/3-crossplatform RESTful microservices with zero impact to existed on-production services Improve realtime distributed detection service throughput capacity Internal education about Go and Dockerize system design ASUS, Senior Communication Software Engineer, DecOct 2013 # Technology Stack C/C++98 (RIL, HAL, kernel) Java (Android framework layer) Python 2.5/2.6, Go 0.9 (factory supporting tools) Git, GDB, DDMS, ... Android BSP related toolchain # Role in Android BSP A50, A10: RIL (SIM) TF-101, TF
就職中
フルタイム / リモートワークに興味あり
10〜15年
National Tsing Hua University
・
Communication Engineering
Java Software Engineer @Music Reports Inc2020 ~ 現在
・
Java Software Engineer
1年以上
Vrezh Khalatyan Java Software Engineer Glendale, CA, USA Forward-thinking Software Engineer with background working effectively in dynamic environments. Fluent in Java and Python programming languages. Proud team player focused on achieving project objectives with speed and accuracy. Software Engineer skilled at technical leadership, communication and presentations. Experienced in full project life cycle from design to implementation to integration. Work Experience Java Software Engineer • Music Reports Inc DecemberPresent Developed high-quality software design and architecture utilizing Java MVC, JavaFX, and Swing. Implemented multi-threading and exception handling to improve application functionality Identified, prioritized, and
フルタイム / リモートワークに興味あり
4〜6年
California State University
・
Computer Science最も簡単で効果的な採用プラン
80万枚以上の履歴書を検索して、率先して求人応募者と連絡をとって採用効率を高めましょう。何百もの企業に選ばれています。
- 検索結果をすべて閲覧
- 新しい会話を無制限に始められます
- 有料企業にのみ履歴書を公開
- ユーザーのメールアドレスと電話番号を確認
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2
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"business development"
3
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UI designer -UX
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.
Professional Background
現在の状況
求人検索の進捗
Professions
Data Engineer
Fields of Employment
ソフトウェア
職務経験
1〜2年の職務経験（1年未満関連）
Management
スキル
言語
Chinese
・
ネイティブまたはバイリンガル
English
・
ビジネスレベル
Job search preferences
希望のポジション
Image processing, machine learning, parallel computing, software engineer
求人タイプ
フルタイム
希望の勤務地
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
リモートワーク
リモートワークに興味あり
Freelance
学歴
学校
National Central University
専攻
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.