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On
4-6 years
6-10 years
10-15 years
More than 15 years
Software engineer
Co-Founder & Algorithm developer @iStaging2015 ~ Present
・
Software Engineer
More than one year
Interested in working remotely
4-6 years
National Chiao Tung University
・
Institutes of Multimedia Engineering
MTS Software Development Engineer @AMD2022 ~ Present
・
Software Engineer
Within one month
...) Developed backend service(Python & Flask) for music information retrieval and MIDI file generating on Google Cloud Platform(for GoGuitar ) Developed real-time harmonic pitch class profiling & chord detection module for GoGuitar (C++ & Objective-C for iOS bridge) Developed cross-category item recommendation system for GoGuitar (Python & LightFM) Developed JACK -based audio application on embedded Linux Developed QML GUI app on embedded Linux Fatek Automation，2015//07 Designed and implemented front-end software(Qt, C++ and some Python) for motion controller Studied and implemented help document framework for HMI design tool Implemented
Employed
Full-time / Interested in working remotely
6-10 years
National Tsing Hua University
・
MathematicsSenior Software Engineer @U-NEXT Co., Ltd.2021 ~ Present
・
Software Engineer
Within one month
Employed
Full-time / Interested in working remotely
4-6 years
Nation Taiwan University
・
Bioelectronic and BioinformaticsEmployed
Full-time / Interested in working remotely
4-6 years
國立台灣科技大學 National Taiwan University of Science and Technology
・
資訊管理所
Software Engineer @趨勢科技 TrendMicro2022 ~ Present
・
Software engineer
More than one year
url GCP: https://www.cloudskillsboost.google/public_profiles/a7e90093-c2ce-44ca-b4cc-f4590b7b1db1 Software engineer (3 years' experience) Chinese (Native) | English (Fluent) | Japanese (Intermediate) [email protected] New Taipei City, TW Project & Skill Back-end eCloudValley Cloud Management Platforms ( C#, PHP, python ) eCloudValley micro-services and web APIs ( C#, python, PHP ) DBSE Assistant ( Java ) AI Game - Bulls and Cows ( Java ) FB page bot (Flask) Full-stack Customer-triggered Game servers and TG/DC chat bots for 15 players ( python, DDB, shell ) DBSE Community Network ( Django, mongoDB ) Hack day funding
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
Software Engineering & Database
Engineer @Qualcomm2023 ~ Present
・
Software Engineer
Within one month
issues and keep up-to-date the new request to ensure on-time project completion. Migrated Maxlinear codebase Software R&D engineer, System engineer Android mobile, Compal Computer Inc. DecMarEngineered Android mobile phone, IoT smart watch, tracker and AR/VR display products with C, Shell Script and Python. Display driver IC porting on MTK and Qualcomm platforms. Developed customized handmade OLED display driver IC code on unique SONY platform. (SPRESENCE) Developed framework and applications code in RTOS. Developed code to run monkey script (Python) for the product assurance team to capture the issues
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
4-6 years
National Cheng Kung University
・
Master of Biomedical Engineering
Software Engineer
Within one year
queue of play commands to reduce communication latency play history in casting local SQL database Photo-indexer Develop the video indexer method and architecture Develop video synchronize data scheme in mongoDB Cloud-import-manager develop virtual environments for platform x86-64/aarch64 with SDK overwrite third-party open source python module to develop APIs google/iCloud Photos downloading downloading data management in db Oauth-server authorization Software integration Integration system env. and edge AI chip SDK Hardware acceleration for streaming decode/encode AugustJanuarySenior Software Engineer, Asustor Inc. In the past few years in Asustor, in
Employed
Full-time / Interested in working remotely
10-15 years
National Cheng Kung University
・
Computer Science
Software Engineer @TCM
Software Engineer
More than one year
Azure actually does and basic information about how to use them in Azure Portal. Push notifications, API deployment and real-time data analyzing are some of the things I've done using Azure. IoT I used to develop applications for Raspberry Pi and Intel Galileo / Edison using Python. They were experimental and fun to create kind of things like fetch temperature and send it to remote SQL database in Azure periodically and flash some leds etc. Projects Experience Software Engineer at TCM, 14 OctPresent I'm in a product team for TCMSFA Windows application.
Full-time / Interested in working remotely
4-6 years
Beykent University
・
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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.
Professional Background
Current status
Studying
Job Search Progress
Professions
Software Engineer, Python Developer, Machine Learning Engineer
Fields of Employment
Software, Artificial Intelligence / Machine Learning, Robotics
Work experience
Less than 1 year
Management
None
Skills
Languages
English
・
Professional
German
・
Fluent
Chinese
・
Native or Bilingual
Job search preferences
Positions
Software Engineer
Job types
Full-time
Locations
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Remote
Interested in working remotely
Freelance
No
Educations
School
國立清華大學
Major
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