CakeResume Talent Search

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4〜6年
6〜10年
10〜15年
15年以上
Taipei City, Taiwan
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Software Engineer @Amazon Web Services (AWS)
2023 ~ 現在
資深前端工程師、資深後端工程師、全端工程師
1ヶ月以内
Excel
C#
flutter
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
Tamkang University
資訊工程學系
Avatar of Chang, Chung-Ho.
Avatar of Chang, Chung-Ho.
Senior Software Engineer @CPC Corporation, Taiwan
2018 ~ 現在
Sr. Software Engineer, Project Manager
2ヶ月以内
I prioritize maintainable code, leading to extensive refactoring during my tenure. I find satisfaction when functionalities I develop benefit users, hence my earnest discussions with users about their usage scenarios honed through extensive interpersonal experiences during my military service. In the future, I aspire to deepen my expertise in software development while branching into DevOps and artificial intelligence fields, approaching this with an open-minded attitude. I hope for the opportunity to collaborate with your team and contribute unique value to the company! Best regards, Chang, Chung-Ho Work Experience 07/Present Se...
C#.NET development
T-SQL
Vue.js
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
6〜10年
San Diego State University
Avatar of GISH Shao.
Avatar of GISH Shao.
AI Engineer/系統開發工程師 @中信金控_台灣人壽保險股份有限公司
2022 ~ 現在
AI Engineer
1ヶ月以内
— GISH G SUMMARY Aiming to be a data scientist unicorn who excels at applied machine learning in a business/finance-related field. DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt). Applying tree-based algorithms to model Credit Scoring predictions in the finance industry. Achieving Hyperautomation through AI and RPA, which uses a special set of tools to automate tasks. Working Experience NovNow Artificial Intelligence Engineer @ CTBC Taiwan Life Insurance AI Team DevOps Engineer(Python) for Automatic Claim Processor (ACP) - OCR System (Hospital Diagnosis/Receipt) 1.
Python
SQL
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 National Taiwan University
Business Administration
Avatar of sienna chou.
Avatar of sienna chou.
Director of Integrated Marketing Center @財團法人人工智慧科技基金會
2023 ~ 現在
PM/產品經理/專案管理
1ヶ月以内
every step matters. I enjoy thinking and feel I have a severe "information addiction" common in marketing. I won't miss chances to learn new things and can't go a week without learning or a day without the internet. Work Experience Director of Integrated Marketing Center • Artificial Intelligence Foundation AprilPresent 1. AI project consulting Help companies understand how they can use AI and how to apply it. 2. AI project development Develop AI projects from other companies and internal needs. Deputy Director • OSENSE TECHNOLOGY CO., LTD. MarchMarch 2023 Business proposals
Microsoft Office
iOS
trello專案管理
就職中
就職希望
フルタイム / リモートワークに興味あり
10〜15年
Shih Chien University
企業管理系
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AI 研發主任(function leader) @緯創資通股份有限公司
2020 ~ 現在
AI 演算法相關工作
2ヶ月以内
Python
AWS EC2
AWS SageMaker
就職中
フルタイム / リモートワークに興味なし
6〜10年
中原大學 Chung Yuan Christian University
化學工程/生醫材料工程
Avatar of Ta-Chun Lin (TC).
Avatar of Ta-Chun Lin (TC).
全端工程師 (電腦視覺及軟體) @Spingence (偲倢科技股份有限公司)
2020 ~ 2023
AI工程師、ML工程師、資料科學家、軟體工程師
1ヶ月以内
Ta-Chun Lin (TC) 近20年的海外居住經驗,我培養了突出的學習及創新能力,更進一步使我擁有了自信自強的性格。 在這個產業中,在知名的AI公司及大型集團,我有著約5年的經驗,這成就了我扎實的專業素養,如專案進程、客戶及團隊溝通、衝突管理等
Software Development
Web Development
Machine Learning
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
澳洲昆士蘭科技大學 (QUT)
電腦科學 (碩士)
Avatar of Jeffrey Wang.
Avatar of Jeffrey Wang.
Past
Product Manager @Kono 美商知識能股份有限公司
2022 ~ 2022
Project Manager、PM、專案經理、UX、網站企劃、產品企劃
2ヶ月以内
王俊元(Jeffrey Wang) 產品經理健身房 |  音樂科技網 | Music Tech Alliance | [email protected] 超過 5 年軟體產品開發經驗,主要為網站、App 和桌機端的 B2C 服務,有 0~1 產品開發和 AI 演算法的實務經驗,待過音樂串流、AI 演算法開發和 Wi-Fi 智慧照護公司。 工作經歷 產品經理 2023年11
專案管理
軟體開發
Scrum Methodology
無職
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
東吳大學
國際貿易
Avatar of 許碩文.
Avatar of 許碩文.
Senior Machine Learning Engineer @CoolSo
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
+ / Python SDK and deployed DNN models on Android and Linux / Windows. Digital Marketing and Advertisement (Volunteer) - Drove brand awareness and reach through digital channels - Created and managed posts on Facebook, LinkedIn, Instagram - Filmed and edited YouTube videos showcasing CoolSo's capabilities JulyPresent Chief Technology Officer / Artificial Intelligence Engineer • Checkitout Technology Checkitout's smartphone solution employed machine learning and computer vision for efficient counterfeit detection, safeguarding customer interests Leadership and Strategic Contributions - Founded and led a dynamic engineering team to develop counterfeit detection solutions, successfully showcased the prototype to customers within 3 months - Engaged with customers
數位IC設計
python
Verification
フルタイム / リモートワークに興味あり
4〜6年
University of California, Berkeley
Business/Commerce, General
Avatar of Johnny Hsieh.
Avatar of Johnny Hsieh.
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
1ヶ月以内
co-founding a blockchain company where I developed the pioneering deep learning model for estimating the value of decentralized domain names. Currently, I manage ArgsData and MorphusAI, innovative companies focused on delivering cutting-edge data solutions and advancing digital human technology through advanced deep learning methodologies. Professional Skills: Artificial Intelligence Facial Recognition and Facial AI Technologies: Real-Time Facial Expression Tracking and Analysis: Utilizing advanced machine learning algorithms for immediate recognition and analysis of facial expressions, enhancing user interaction experiences. Emotion Recognition Systems: Developing AI systems capable of understanding and responding to user emotions, used to enhance
Solidity
blockchain development
Docker
フルタイム / リモートワークに興味あり
4〜6年
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Avatar of the user.
資深經理 @緯創資通
2021 ~ 現在
Technical Manager
6ヶ月以内
Research
Unsupervised Learning
Computer Science
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
Master's degree Computer Science and Information Engineering

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1年以上
Computer Vision Reseacher
國立中央大學
2020 ~ 現在
Hsinchu, 新竹市台灣
Professional Background
現在の状況
就学中
求人検索の進捗
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
ソフトウェア, 人工知能/機械学習, ロボティクス
職務経験
1年未満
Management
なし
スキル
Artificial Intelligence
Deep Learning with PyTorch
Deep Learning with Tensorflow
Computer Vision
Python
Git
C++
Web
言語
English
ビジネスレベル
German
流暢
Chinese
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Software Engineer
求人タイプ
フルタイム
希望の勤務地
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
リモートワーク
リモートワークに興味あり
Freelance
いいえ。
学歴
学校
國立清華大學
専攻
資訊應用研究所
印刷

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.  

  [email protected]

https://github.com/lykasbongbongbong

linkedin.com/in/lykas-chia-ying-lin

  0937-464-176

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
Resume
プロフィール

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.  

  [email protected]

https://github.com/lykasbongbongbong

linkedin.com/in/lykas-chia-ying-lin

  0937-464-176

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