CakeResume Talent Search

上級
On
4〜6年
6〜10年
10〜15年
15年以上
Avatar of Chun-Jung Huang.
Avatar of Chun-Jung Huang.
OPC Chief Engineer @TSMC
2020 ~ 現在
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
1ヶ月以内
◆Excelled in distributed computing, optimizing code execution across thousands of systems to significantly improve processing speed and efficiency. ◆Developed sophisticated data visualization tools to distill complex datasets into actionable insights, aiding strategic decision-making. The University of Tokyo, Foreign Researcher (OctSep◆Pioneered a neural network-based approach for cell image classification and data visualization, enhancing lab capabilities in biological research. ◆Designed a user-friendly GUI for neural network model training, democratizing access to advanced computational tools for non-programmers. Education National Chiao-Tung University, Ph.D. - Photonics, 2015 ~ 2020 Development of Intelligent Wearable Near Infrared
Deep learning with TensorFlow
Translational Research
Clinical Research
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
National Chiao-Tung University
Ph.D. - Clinical Engineering
Avatar of the user.
Avatar of the user.
設備專案工程師 @日月光半導體製造股份有限公司 ADVANCED SEMICONDUCTOR ENGINEERING, INC.
2020 ~ 現在
工程師
3ヶ月以内
Equipment repair and maintenance
Wire bonding process
Python
就職中
就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立高雄科技大學 National Kaohsiung University of Science and Technology
電腦與通訊工程系
Avatar of Sayed Mohammad Ahmadi.
Avatar of Sayed Mohammad Ahmadi.
Data Analyst & IoT Software Developer @FARAZ ERTEBAT
2021 ~ 現在
Computer Vision / Deep Learning
1ヶ月以内
C# as well, I develop robust solutions that encompass various programming paradigms. Passionate about staying up-to-date with the latest advancements, I excel at leveraging AI and computer vision techniques to derive valuable insights from visual data. I have successfully applied my knowledge in domains like image classification, object detection, and video analytics. As a lifelong learner, I continuously seek professional growth, exploring emerging technologies and frameworks to expand my skill set. I collaborate with cross-functional teams, employing popular Deep Learning frameworks like TensorFlow and PyTorch, as well as libraries like OpenCV.
C#
C/C++
MySQL
就職中
就職希望
フルタイム / リモートワークに興味あり
4〜6年
University of Qom
Information Technology | Face Recognition
Avatar of 薛孟睿 Jerry Xue.
Avatar of 薛孟睿 Jerry Xue.
Software QA Engineer @West Pharmaceutical Services
2020 ~ 現在
Software Developer
1ヶ月以内
/jQuery. Integrate databases in MySQL/MSSQL/Oracle SQL/Google Firebase. Web Server setup in AMP(Apache, MySQL), Django/gunicorn/Nginx iOS App development in Swift/Message Kit/Core NFC. Machine Learning Experience with using Python and Keras in medical image classification and detection based on CNN. Basic Hardware Application Experience with Raspberry Pi 3/4 and environmental sensors(Temperature, humidity, pm2.5, co2, dangerous gas, ultrasonic/infrared distance, infrared camera). Experience with Arduino and environmental sensors. 工作/專案經歷
Oracle Database SQL
Oracle PL/SQL
android app
就職中
就職希望
フルタイム / リモートワークに興味あり
4〜6年
朝陽科技大學Chaoyang University of Technology
資訊管理系 Department of Information Management
Avatar of 莊承翰.
Avatar of 莊承翰.
Algorithm Engineer @Delta Electronics
2017 ~ 現在
Algorithm Engineer
1ヶ月以内
莊承翰 The devil is in the detail. Video and Image Algorithm, Deep learning, Software development [email protected] Summary Over 8 years of experience in deep learning and more than 10 years of experience in computer vision/image processing. Capable of independently or collaboratively building AI (image/video) products from scratch with various teams. Analyzing, and improving deep learning systems. Kaggle Top 1% ( 16 /Sartorius - Cell Instance Segmentation (2021/12~2021/12) Top 4% ( 85 /Human Protein Atlas Image Classification (2018/11~2019/1
Software Development
Python
C++
就職中
フルタイム / リモートワークに興味なし
4〜6年
National Chin-Yi University of Technology
Avatar of the user.
Avatar of the user.
Performance Analyst @Ericsson
2014 ~ 2016
Data Scientist
6ヶ月以内
R
SQL
Machine Learning
フルタイム / リモートワークに興味あり
6〜10年
University of Southampton
Actuarial Science (1st class degree)
Avatar of the user.
Avatar of the user.
副研究員 @中華電信
電腦視覺工程師
6ヶ月以内
就職中
フルタイム / リモートワークに興味あり
6〜10年
國立台灣大學
資訊工程
Avatar of Hsin-Ping Wang.
Avatar of Hsin-Ping Wang.
Data Analytics Project Manager @Construction and Disaster Prevention Research Center
2015 ~ 現在
Data Scientist
1年以上
oriented and quality-focused. •Can work independently in a fast-paced environment. •Cool and concentrate under pressure. •Have good communication and presentation skills logically. Skills Project Management Technology research Communication Presentation Time Management Communication Software Python SPSS IBM SPSS Modeler ArcGIS Specialization Data Analysis GIS Analysis Image Classification Remote Sensing Data Modeling ML Algorithm Languages Mandarin Chinese English Work Experience Data Analytics Project Manager Construction and Disaster Prevention Research Center • 九月Present ‧Provided data forecasting and strategy to clients/government for making a strategic decision on urban planning/environmental protection/preservation.
Adaptability
Sensitive
Good Communication
就職中
フルタイム / リモートワークに興味あり
4〜6年
FENG CHIA UNIVERSITY
Master of Urban Planning and Spatial Information
Avatar of Phidias Chiang.
Avatar of Phidias Chiang.
System Development Engineer @Amazon Web Services (AWS)
2023 ~ 現在
Software Engineer
6ヶ月以内
stack for the company's product Building software team's workflow and coding standards Building office's network and internal service infrastructure Software Engineer Tech Lead DT42 六月十月 2019Taipei, Taiwan Co-working with Acer to create a low overhead Python wrapper for Tensorflow Lite C++ image classification running on Acer aiSage device, which only adds 2 to 4 ms overhead Software Engineer DT42 十二月六月 2018Taipei, Taiwan Migrating backend architecture from AWS EC2 GPU instances to on-demand AWS ECS service, which reduce 80% costs Hardware Enablement Engineer Canonical 十一月
C++
C
Python
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
NSYSU, Taiwan
CSE
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ 現在
Software Engineer
1ヶ月以内
push-ups and squats, enabling accurate tracking and analysis of workout routines. Skeleton Detection Motion Classification Body AI: 3D Body Data Analysis Engage in a variety of AI side projects focused on leveraging 3D body data, encompassing tasks such as Body ID Recognition, Body Measurements Prediction, and Body Shape Classification. Mesh Data Processing Body Modulization: SMPL Project Engineer • Acer Inc. JanMay 2021 Working in research and development (RND), I provided demand analysis, conceived system architecture, and developed core technology in AI projects Medical AI: Cancer Cells Detection Designed an image preprocessing algorithm and conducted training and optimization
Python
AI & Machine Learning
Image Processing
就職中
面接の用意ができています
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
生物產業機電工程所

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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.
6ヶ月以内
AI Engineer
歐特明電子股份有限公司
2021 ~ 現在
台灣台北市
Professional Background
現在の状況
就職中
求人検索の進捗
Professions
Software Engineer
Fields of Employment
人工知能/機械学習
職務経験
2〜4年
Management
I've had experience in managing 15+ people
スキル
Object detection
Object segmentation
Image Classification
Statistics
言語
English
中級者
Job search preferences
希望のポジション
人工智慧工程師、軟體設計工程師、Deep learning engineer、Machine learning engineer、深度學習工程師、機器學習工程師
求人タイプ
フルタイム
希望の勤務地
リモートワーク
Freelance
学歴
学校
國防醫學大學
専攻
公共衛生學系
印刷

陳映竹 ( Joanna)

Aged: 26

Gender: female


Phone: 0916-209-822

Email: [email protected]

Expertise: deep learning, machine learning, statistics

Education

 

Master of Science in Public Health, National Defense Medical Center

Advanced fields: Deep Learning, Data visualization, Statistics, Bioinformatics

2019 - 2021

Bachelor of Science in Public Health, Kaohsiung Medical University

Advanced fields: Biostatistics, Epidemiology, Genetics

2015 - 2019

Project Experience

Dec 2022 - Dec 2023
oToBrite Electronics

Obstacle detection of Auto Parking Assist

Object segmentation, PyTorch

  • Optimize the model architecture to shorten the computation time by 15%. 
  • In 380 test videos, the accuracy of parking space status is over 90%.
  • The model has reached the mass production specifications.  

Dec 2021 - Dec 2022
oToBrite Electronics

Lane Line detection of Lane Departure Warning

Object segmentation, PyTorch 

  • Improve the model IoU by over 10% and achieved a lane detection rate of 98%, with mass production already implemented for two clients. 
  • In 270 test videos, the model achieved a lane-switching detection rate higher than 97% and an off-lane distance accuracy exceeding 85%.

Feb 2021 - Jun 2021
Defense Medical Center 

Assistive Diagnosis of Posterior Circulation Ischemic Stroke

Object segmentationStatistics, MxNet

  • Propose a novel quantitative scale and enhance the accuracy of prognosis for patients with posterior circulation ischemic stroke. 
  • Reduce the time required for evaluating patients' prognoses from 30 minutes to less than 5 minutes.

Jan 2021 - Apr 2021
Defense Medical Center 

Face detection and identity recognition 

Object detection, Verification loss , AppsMxNet

  • Utilize verification loss to quantify similarities among multiple faces for recognizing each face's identity.
  • Once users create their own identity profiles, the model can recognize identities without the need for retraining.  

Expertise


  • Object segmentation
  • Object detection
  • Statistics

Software


  • Python (PyTorch)
  • R (MxNet / Shiny-Apps)
Resume
プロフィール

陳映竹 ( Joanna)

Aged: 26

Gender: female


Phone: 0916-209-822

Email: [email protected]

Expertise: deep learning, machine learning, statistics

Education

 

Master of Science in Public Health, National Defense Medical Center

Advanced fields: Deep Learning, Data visualization, Statistics, Bioinformatics

2019 - 2021

Bachelor of Science in Public Health, Kaohsiung Medical University

Advanced fields: Biostatistics, Epidemiology, Genetics

2015 - 2019

Project Experience

Dec 2022 - Dec 2023
oToBrite Electronics

Obstacle detection of Auto Parking Assist

Object segmentation, PyTorch

  • Optimize the model architecture to shorten the computation time by 15%. 
  • In 380 test videos, the accuracy of parking space status is over 90%.
  • The model has reached the mass production specifications.  

Dec 2021 - Dec 2022
oToBrite Electronics

Lane Line detection of Lane Departure Warning

Object segmentation, PyTorch 

  • Improve the model IoU by over 10% and achieved a lane detection rate of 98%, with mass production already implemented for two clients. 
  • In 270 test videos, the model achieved a lane-switching detection rate higher than 97% and an off-lane distance accuracy exceeding 85%.

Feb 2021 - Jun 2021
Defense Medical Center 

Assistive Diagnosis of Posterior Circulation Ischemic Stroke

Object segmentationStatistics, MxNet

  • Propose a novel quantitative scale and enhance the accuracy of prognosis for patients with posterior circulation ischemic stroke. 
  • Reduce the time required for evaluating patients' prognoses from 30 minutes to less than 5 minutes.

Jan 2021 - Apr 2021
Defense Medical Center 

Face detection and identity recognition 

Object detection, Verification loss , AppsMxNet

  • Utilize verification loss to quantify similarities among multiple faces for recognizing each face's identity.
  • Once users create their own identity profiles, the model can recognize identities without the need for retraining.  

Expertise


  • Object segmentation
  • Object detection
  • Statistics

Software


  • Python (PyTorch)
  • R (MxNet / Shiny-Apps)