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上級
On
4〜6年
6〜10年
10〜15年
15年以上
Product Manager @Linker Vision2023 ~ 現在
・
PM/產品經理/專案管理
1ヶ月以内
relationship maintenance 24 Merchants, 6 IPs. NFT generation and 3D modeling Web 3.0, Metaverse, NFT-related consultant. OctFeb 2021 Project Engineer Acer Studying cutting-edge AI/DL skills to implement on a medical AI project. 92% accuracy on glaucoma CDR detection. Familiar with object detection, segmentation, and classification AI scenario. Good communication skills with doctors' demands and collaboration with colleagues. Patent Disclosure: Ultrasound detect and notify system. (serial number: I學歷 SepJun 2 National Taiwan University of Science and Technology Masters in Electrical Engineering Thesis "Online Data Stream Analytics
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
國立台灣科技大學 National Taiwan University of Science and Technology
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電機工程
Team Lead @工業技術研究院2020 ~ 現在
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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
1ヶ月以内
就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
National Chung Cheng University
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資訊工程學所
Engineering Manager @Viscovery 創意引晴股份有限公司2018 ~ 現在
・
1ヶ月以内
Research Experience Research Assistant, Seppresent Communication and Multimedia Lab (CMLab), NTU Proposed a Convolutional Neural Network (CNN) accurately performing fine-grained classification for surveillance car. The model recovered lost details from low resolution image with hints in crawled web images. Leveraged frame similarity to speed up CNN-based object detection and semantic segmentation models, e.g. FPN, PSPNet, YOLO, Faster-RCNN, and SegNet. Proposed a multimodal CNN achieving high fine-grained classification accuracy. The model was trained with both web images and its tags, and could predict solely with image in future testing phase
就職中
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就職希望
フルタイム / リモートワークに興味あり
4〜6年
國立台灣大學
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Electrical Engineering
技術長(CTO) @雅匠科技股份有限公司2019 ~ 2022
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CTO、Sr.Software Manager、Sr.Software Engineer
1ヶ月以内
限公司 Java/ Kotlin/ python/ Flutter/ Docker/ Django/ FastAPI/ MySQL/ AWS/ GCP/ OpenCV - Direct management of about 5 to 8. - Mobile app development about AR, temperature/co2 monitoring, beacon parking-related app, etc. - Computer vision for object detection, hand tracking, hair segmentation, and virtual makeup with python language using OpenCV and other open-source. - The assessment of new technology to import and manage engineers' working flow. - Web API development for mobile or Web, and deploy with Docker container on a cloud server or local
就職中
フルタイム / リモートワークのみ
4〜6年
ISU University
・
電機工程學系就職中
フルタイム / リモートワークに興味あり
10〜15年
National Taiwan University of Science and Technology
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Master's degree Computer Science and Information Engineering
Data engineer @H2 Inc.2021 ~ 現在
・
AI engineer, ML engineer, data scientist
3ヶ月以内
用 6 種不同 CNN model 搭配 5 種 data augmentation 並且 fine-tune model，達到 93 % Accuracy on validation dataset. Accuracy 達到 93%, 已與醫師合作發表醫學 paper 3. Pathology案件 -建立 two stage segmentation model, stage one segmentation model 達到86% IOU, stage two segmentation model 達到 94% custom dice coefficient 學歷 清華大學 動力機械工程學系技能 Software AWS Airflow Dagster Docker Git Flask Pytorch Tensorflow DVC Languages Python SQL Bash
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
清華大學
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動力機械工程學系
Data science lecturer @Ittraining2020 ~ 現在
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Data Scientist 資料科學家_數據分析師
1ヶ月以内
Detection: Detect Player Contacts from Sensor and Video Data, 2023/03/03 AIGC (生成式AI): - Bronze medal (solo): (Kaggle) Stable Diffusion - Image to Prompts: Deduce the prompts that generated our "highly detailed, sharp focus, illustration, 3d renders of majestic, epic" images, 2023/05/16 Object detection (目標檢測): - 4th place (solo): (Aidea AI CUP) 肺腺癌病理切片影像之腫瘤氣道擴散偵測競賽 I：運用物體偵測作法於找尋STAS, 2022/06/02
就職中
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就職希望
パートタイム / リモートワークに興味あり
15年以上
Purdue University
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School of civil engineering (Stochastic & statistical hydrology)Senior Backend Engineer/Machine Learning Engineer @Calyx Inc.2022 ~ 現在
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後端工程師/系統架構師/機器學習工程師
1ヶ月以内
就職中
・
就職希望
フルタイム / リモートワークに興味あり
6〜10年
國立臺灣師範大學
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地球科學/大氣組Marketing Specialist @TradeUP Securities2021 ~ 現在
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Marketing Specialist
1ヶ月以内
ensuring the timely recording and distribution of clients' rewards. •Drafted, proofread, designed, and distributed both internal and external communications. This included visually compelling Google Display Ads, press releases, engaging blog posts, and posts across multiple social media platforms. •Maximized the use of the CRM system for customer segmentation and targeted marketing. •Coordinated promotional items for prospects and customers, leveraging digital platforms to achieve a wider reach and impact. •Engaged with internal teams to optimize procedures and campaigns that fueled growth marketing initiatives. •Collaborated closely with product and engineering teams to implement strategies aimed at
就職中
・
就職希望
フルタイム / リモートワークのみ
6〜10年
William Paterson University of New Jersey
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Marketing/Marketing Management, General
BI/DATA Engineer
1ヶ月以内
learning input/output and BI features. Foxconn, Senior Data Engineer, OctDec 2018 Collect customer data from various channels and extract valuable information to build ad recommendation models Experience with ETL flow design and develop: ETL between Hadoop and RDB Cleaning TV logs to analyze customer behavior and building key metrics to analyze Construct data flow to manage big data ingestion from upstream application to Hadoop Distributed File System Building data warehouse from scratch and using Hadoop, Hive, Impala, Python to solving data process issue Taiwan Star, Senior BI Developer , AugSep 2017 Implemented customer segmentation an...
フルタイム / リモートワークに興味あり
6〜10年
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。
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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
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
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
陳映竹 ( Joanna)
Aged: 26
Gender: female
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 segmentation, Statistics, 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.
Face detection and identity recognition
Object detection, Verification loss , Apps, MxNet
- 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)
陳映竹 ( Joanna)
Aged: 26
Gender: female
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 segmentation, Statistics, 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.
Face detection and identity recognition
Object detection, Verification loss , Apps, MxNet
- 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)