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On
De 4 a 6 años
6-10 años
10-15 años
Más de 15 años
Taipei City, Taiwan
Software Engineer @Amazon Web Services (AWS)2023 ~ Presente
・
資深前端工程師、資深後端工程師、全端工程師
En un mes
Empleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
Tamkang University
・
資訊工程學系
Senior Software Engineer @CPC Corporation, Taiwan2018 ~ Presente
・
Sr. Software Engineer, Project Manager
En el plazo de dos meses
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...
Empleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
6-10 años
San Diego State University
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 ~ Presente
・
AI Engineer
En un mes
— 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.
Empleado
・
Listo para la entrevista
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
國立台灣大學 National Taiwan University
・
Business Administration
Director of Integrated Marketing Center @財團法人人工智慧科技基金會2023 ~ Presente
・
PM/產品經理/專案管理
En un mes
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
Empleado
・
Abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
10-15 años
Shih Chien University
・
企業管理系AI 研發主任(function leader) @緯創資通股份有限公司2020 ~ Presente
・
AI 演算法相關工作
En el plazo de dos meses
Empleado
A tiempo completo / No está interesado en trabajar a distancia
6-10 años
中原大學 Chung Yuan Christian University
・
化學工程/生醫材料工程
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
En un mes
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
Empleado
・
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
澳洲昆士蘭科技大學 (QUT)
・
電腦科學 (碩士)
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
En el plazo de dos meses
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
Desempleado
・
No está abierto a oportunidades
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
東吳大學
・
國際貿易
Senior Machine Learning Engineer @CoolSo2020 ~ Presente
・
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
En un mes
+ / 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
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
University of California, Berkeley
・
Business/Commerce, General
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
En un mes
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
A tiempo completo / Interesado en trabajar a distancia
De 4 a 6 años
Empleado
A tiempo completo / Interesado en trabajar a distancia
10-15 años
National Taiwan University of Science and Technology
・
Master's degree Computer Science and Information EngineeringEl plan de reclutamiento más ligero y eficaz
Busque currículums y tome la iniciativa de ponerse en contacto con los solicitantes de empleo para lograr una mayor eficacia en la contratación. La elección de cientos de empresas.
- Examinar todos los resultados de la búsqueda
- Acceso ilimitado para iniciar nuevas conversaciones
- currículos accesibles sólo para empresas de pago
- Ver dirección de correo electrónico y números de teléfono de los usuarios
Consejos de búsqueda
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
Sólo los currículums públicos están disponibles con el plan gratuito.
Actualiza a un plan avanzado para ver todos los resultados de la búsqueda incluyendo decenas de miles de currículums exclusivos en CakeResume.
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
Situación actual
Estudiando
Progreso en la búsqueda de empleo
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Software, Inteligencia Artificial / Aprendizaje Automático, Robótica
Experiencia laboral
Menos de 1 año
Management
Ninguno
Habilidades
Idiomas
English
・
Profesional
German
・
Fluido
Chinese
・
Nativo o bilingüe
Job search preferences
Posición
Software Engineer
Tipo de trabajo
A tiempo completo
Ubicación
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
A distancia
Interesado en trabajar a distancia
Freelance
No.
Educación
Escuela
國立清華大學
Mayor
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