CakeResume 找人才
进阶搜寻
On
4 到 6 年
6 到 10 年
10 到 15 年
15 年以上
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ 现在
・
Software Engineer
一個月內
Designed an image preprocessing algorithm and conducted training and optimization for a cancer cell detection model. Assisted in planning and implementing cancer cell detection applications, as well as developing an auto-training application for the detection model. Computer Vision: Human Action Recognition Conducted training for a human skeleton detection model. Developed static human action recognition model based on images and dynamic human action recognition model based on videos. Autonomous Vehicle: Conducted Multiple AI Models in Perception System Trained and optimized 2D and 3D object detection models, as well as traffic light recognition models. Develope.
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
4 到 6 年
國立台灣大學
・
生物產業機電工程所
Senior engineer @Chicony Electronics Co, Ltd.2018 ~ 现在
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全端工程師、後端工程師、前端工程師、軟體專案主管、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
一個月內
Nelson Chen Senior engineer Dedicated Software Engineer with 6+ Years of Experience Senior software engineer specializing in web page development and deep learning. Proficient with machine learning technologies, such as TensorFlow, Numpy, etc. Experience Senior engineer • Chicony Electronics Co, Ltd. ．Build an Auto-Encoder AI model for defective detection. ．Build an object detection model for detecting car types. ．Developed a Front-End and Back-End website for data analysis. ．Manage the production process and make it automated production. NovPresent Software engineer • Teco image systems co. ltd ．Developed and maintained MFP driver
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
National Taiwan Ocean University
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Computer science and engineering
就职中
・
正在积极求职中
全职 / 对远端工作有兴趣
6 到 10 年
清華大學 National Tsing Hua University
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核子工程 nuclear engineering
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 ~ 现在
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工程師
三個月內
理，機台管理，機台產出、妥善率提升，自動化專案 學歷 國立高雄科技大學 National Kaohsiung University of Science and Technology 電腦與通訊工程系 •論文-Packaging Wire Bonding Defect Detection Based on YOLO-V8 正修科技大學 電機工程 •高雄市立高雄高工 冷凍空調科 •資格認證 TOEIC Speaking&Writing (130,160) ETS 十二月 2021 到期 TOEIC 835 ETS 十二月
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
國立高雄科技大學 National Kaohsiung University of Science and Technology
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電腦與通訊工程系
Data engineer @H2 Inc.2021 ~ 现在
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AI engineer, ML engineer, data scientist
三個月內
施冠宇 在 H2 inc. 智抗糖 app 中開發 food AI recognition 功能 ，目前服務已經穩定上線 New Taipei City, Taiwan 工作經歷 Data engineer • H2 Inc. 十二月Present 【AI 食物辨識及分類】 - 設計 labeling workflow and rules, 並領導 3 位 labelers 團隊 - 管理 food AI recognition project life cycle, 完成 end-to-end deployment 並根據用戶回饋建立 retrain system - 幫助公司 app 增加
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
清華大學
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動力機械工程學系Data Analyst & IoT Software Developer @FARAZ ERTEBAT2021 ~ 现在
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Computer Vision / Deep Learning
一個月內
就职中
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目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 6 年
University of Qom
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Information Technology | Face Recognition
Data science lecturer @Ittraining2020 ~ 现在
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Data Scientist 資料科學家_數據分析師
一個月內
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
就职中
・
目前会考虑了解新的机会
兼职 / 对远端工作有兴趣
15 年以上
Purdue University
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School of civil engineering (Stochastic & statistical hydrology)
Product Manager @Linker Vision2023 ~ 现在
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PM/產品經理/專案管理
一個月內
business development, and customer 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
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
4 到 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 ~ 现在
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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
一個月內
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
National Chung Cheng University
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資訊工程學所
高級軟體工程師 @瀚宇彩晶股份有限公司2022 ~ 现在
・
一個月內
以及模型整合至推論平台等一條龍之能力 擁有神經網路跨框架開發的經驗，熟悉Tensorflow/Pytorch 轉 Onnx與TensorRT 熟悉各式AI影像處理Object Detection、Segmetation以及傳統影像處理的方法，尤其擅長瑕疵檢測 具備網站全端開發以及後端串接AI人工智慧的經驗 擁有豐富的AI
就职中
・
目前会考虑了解新的机会
全职 / 对远端工作有兴趣
6 到 10 年
國立臺中科技大學National Taichung University of Science and Technology.
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資訊工程系-碩士最轻量、快速的招募方案，数百家企业的选择
搜寻简历，主动联系求职者，提升招募效率。
- 浏览所有搜寻结果
- 每日可无限次数开启陌生对话
- 搜尋僅開放付費企業檢視的简历
- 检视使用者信箱 & 电话
搜寻技巧
1
Search a precise keyword combination
senior backend php
2
Use quotes to search for an exact phrase
"business development"
3
Use the minus sign to eliminate results containing certain words
UI designer -UX
职场能力评价定义
专业技能
该领域中具备哪些专业能力（例如熟悉 SEO 操作，且会使用相关工具）。
问题解决能力
能洞察、分析问题，并拟定方案有效解决问题。
变通能力
遇到突发事件能冷静应对，并随时调整专案、客户、技术的相对优先序。
沟通能力
有效传达个人想法，且愿意倾听他人意见并给予反馈。
时间管理能力
了解工作项目的优先顺序，有效运用时间，准时完成工作内容。
团队合作能力
具有向心力与团队责任感，愿意倾听他人意见并主动沟通协调。
领导力
专注于团队发展，有效引领团队采取行动，达成共同目标。
专业背景
目前状态
就学中
求职阶段
专业
软体工程师, Python 开发人员, 机器学习工程师
产业
软件, 人工智能 / 机器学习, 机器人科学
工作年资
小於 1 年
管理经历
无
技能
语言能力
English
・
专业
German
・
进阶
Chinese
・
母语或双语
求职偏好
希望获得的职位
Software Engineer
预期工作模式
全职
期望的工作地点
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
远端工作意愿
对远端工作有兴趣
接案服务
否
学历
学校
國立清華大學
主修科系
資訊應用研究所
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios
林佳縈 Chia Ying Lin
Computer Vision Reseacher
Computer Vision Lab, NTHU
With 4-year solid training in computer science fundamentals, 2-year independent research experience in computer vision, and diverse hands-on development experiences, I always pursue excellence, crave new challenges, and am open to all possibilities.
https://github.com/lykasbongbongbong
Skills
Languages
- Python (familiar)
- C++, C
- JAVA
Deep Learning Frameworks
- PyTorch (familiar)
- Tensorflow
CV & DL Libraries
- OpenCV
- Keras
Development Tools
- Git/Github
- RESTFul APIs
Web Development
- HTML, CSS, JS
- Python Flask
- PHP, Laravel
- MySQL, NoSQL(mongoDB)
- AWS
Others
- English TOEFL iBT 97
- English TOEIC 935
- German B2
Education
Master's Studies, Computer Vision Lab, NTHU
Dept. Information Systems and Application, Sep 2020~Now
- Anomaly detection and segmentation for smart manufacturing as primary research target
Bachelor Degree, WASN Lab, NCU
Dept. Computer Science, Sep 2016 ~ June 2020
Exchange Student, Hochschule München, Germany
Dept. Informatik (Computer Science), Sep 2019 ~ Feb 2020
Experiences
August 2021
Attendee,
Machine Learning Summer School, NTU
August 2021
Backend Developer (Anomaly Detection Demo Website),
CVLab, FUTEX 2021
- Use Python Flask, MySQL for RestFul APIs development
- Optimized backend system with Python threading to support sudden massive traffic
June 2018 ~ July 2019, 1y1m
Full-Stack Web Developer (NCU Internship Web)
Career Center NCU
- Reconstruct website with Laravel Framework
- Optimize backend and database to handle larger amounts of access
- Over 30% of users received intern opportunities via this site
- Website Link: https://ncuinternship.careercenter.ncu.edu.tw/
Master Thesis:
SABDN: Self-Attention Based Deviation Network for few-shot anomaly detection and segmentation (Under Review ECCV 2022)
Contributions
- Combine self-attention mechanism with feature extraction CNN network and anomaly synthesis mechanism for anomaly scoring to achieve outstanding anomaly detection accuracy under few-shot setting
- Reach SOTA performance on benchmark dataset MVTecAD dataset and BTAD dataset with over 90 percent reduction in training data requirements
Side Projects
GlueGAN: a generative model based on SuperGlue structure
- Extend MagicLeap’s SuperGlue end-to-end GNN concept for object synthesis to solve synthetic object image generation problem
- 10% accuracy improvement compared to initial GAN backbone
Let's play GAN with flows and friends!
- Generate synthetic object images with multi-label conditions with conditional GAN manner
- Human faces generation by conditional normalizing flow
2048: by Temporal Difference Learning Approach (RL)
- Construct TD-learning algorithm and design own n-tuple network to solve 2048 game
- Reach 98% 2048-tile win rate in 1000 games
The LunarLander: under Deep Q-Network and DDPG manner (RL)
- Implement DQN and DDPG network to solve LunarLander game problem
- Thoroughly understand Deep Q-learning, actor-critic mechanism
Real-Time car detection and counting system
- Retrain YOLOv3 with our own hatchback dataset
- Reach average accuracy: 99% on both day-light and evening scenarios