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4-6 tahun
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Past
Senior Firmware Engineer @Artesyn Embedded Technologies2019 ~ 2022
・
韌體工程師/軟體工程師/控制工程師/演算法工程師/
Dalam satu bulan
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
日本電氣通信大學 The University of Electro-Communications (UEC)
・
Robotics Engineering
Data science lecturer @Ittraining2020 ~ Sekarang
・
Data Scientist 資料科學家_數據分析師
Dalam satu bulan
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
Sudah bekerja
・
Terbuka untuk peluang
Paruh waktu / Tertarik bekerja jarak jauh
Lebih dari 15 tahun
Purdue University
・
School of civil engineering (Stochastic & statistical hydrology)Data engineer @H2 Inc.2021 ~ Sekarang
・
AI engineer, ML engineer, data scientist
Dalam tiga bulan
Sudah bekerja
・
Terbuka untuk peluang
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
清華大學
・
動力機械工程學系Machine Learning Software Engineer @AMD2021 ~ Sekarang
・
Machine Learning Engineer
Dalam dua bulan
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
6-10 tahun
National Chiao Tung University
・
Computer Science
AI Engineer @Revlis Biotech Co. Ltd., Yunlin County, Taiwan2022 ~ Sekarang
・
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
Dalam dua bulan
in 8 years. Coordinated with Environment and Construction Authority to proceed monitoring projects. EducationMaster of Science National Sun Yat-Sen University Biological Oceanography, Multivariate Analysis, Time Series AnalysisBachelor of Science National Sun Yat-Sen University Oceanography Skills Certificate Deep Learning Machine Learning Statistics Multivariant Analysis Python SPSS SAS PyTorch Tensorflow/Keras Scikit-Learn Matplotlib Seaborn 1. Python from the Beginning / Udemy 2. Python A-Z / Udemy 3. Machine Learning A-Z / Udemy 4. Deep Learning A-Z / Udemy 5. TensorFlow 2.0 using Keras API / Udemy
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
10-15 tahun
National Sun Yat-sen University
・
Biological Oceanography, Multivariate Analysis, Time Series Analysis 
Senior Machine Learning Engineer @C-Media Electronics2020 ~ 2021
・
Machine Learning Scientist, Data Scientist
Dalam satu bulan
Hao-Chun (Chad) Yang Ph.D Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, IOT, Health Informatics, Computational Neuroscience | pytorch, tensorflow Room 315, General Building III, No. 101, Section 2, Kuang-Fu Road,Hsinchu City, Taiwan Skills Programming Programming: Python, Matlab DevOps: AWS, GCP, Git, Docker Deep Learning: Pytorch, Tensorflow, Keras ML& Data Science: Sklearn, Numpy, Pandas, Matplotlib MLOps: MLflow, W&B Special HonorsBest Challenge Poster - Physionet/CINC ChallengeTravel Grants - IEEE SPS SocietyPresident Scholarship - NTHU Education National Tsing Hua University Ph.D. in Electrical Engineering (SepPresent) National Tsing
Dalam dinas militer
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
清華大學
・
電機工程
Data Scientist/Machine Learning Engineer @CloudMile_萬里雲2019 ~ Sekarang
・
Data analyst, Machine Learning engineer.
Dalam enam bulan
Science CompetitionBlack Friday Sales Prediction Top 1% inteamsData Science Bowl Top 4% in 3634 teams - TalkingData AdTracking Fraud Detection Challenge Top 16% in 3967 teams - House Prices: Advanced Regression Techniques Top 8 % in 4417 teams 技能 Programming - Python - Java - JavaScript - Golang - C - PHP Data Science - Machine Learning - Deep Learning - PyTorch - Tensorflow - Keras - Hadoop Libraries - Pandas - Numpy - SciPy - Scikit-learn Miscellaneous - Linux - MySQL - MongoDB - Google Cloud Platform - InfluxDB - Postgresql - Docker - HTML5, CSS and Bootstrap - Git 關於我 我是孫郁喬，畢業於國立台灣科技大學資訊工程研究
Sudah bekerja
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Taiwan University of Science and Technology
・
Computer Science
Past
Service Provider @Taron Solutions Limited2023 ~ 2023
・
AI工程師、機器學習工程師、電腦視覺工程師、資料科學家、Machine Learning Engineer、Computer Vision Engineer、Data Scientist
Dalam satu bulan
轉為簡體，最終使用情感分析工具(snownlp)進行股市漲跌分析。 技術：NLP、Beautifulsoup、 opencc 、 snownlp 、 Matplotlib 台灣景氣指標預測模型 side project 使用深度學習框架(Pytorch)自行搭建預測模型，以各式台灣景氣指標當作輸入，輸出未來經濟景氣趨勢階段。 技術：Pytorch、Pandas、Numpy、 Sklearn 論文發表 • Chen, X. Z., Li
Tidak bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立臺北科技大學
・
資訊工程
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
Dalam satu bulan
宋浩茹 Hao-Ru Sung| [email protected] | LinkedIn ｜ GitHub A s a Research Assistant at Academia Sinica , specializing in Generative AI research and application. With 3 + years of experience in NLP a nd Machine Learning , along with 4+ years in Backend Development . Proficient at translating complex theories into practical applications. Skills Languages: Python, R, SQL, MATLAB, C, C#, JavaScript, Node.js Software & Tools: PyTorch, PyTorch Lightning, Tensorflow, Scikit-Learn, NLTK , GCP, Linux, SQL / NoSQ , Pandas, Hugging Face, Gradio, LangChain, Tensorflow, Keras, FastAPI, OpenCV, Airflow
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
國立政治大學（National Chengchi University）
・
資訊科學系
AI Engineer @Playsee2022 ~ Sekarang
・
資料分析師、資料科學家、產品經理
Dalam satu bulan
李昀庭 Data scientist Taiwan 技能 Machine learning and Engineering skills: Python, Big Query, Google Storage, Linux, Docker, GCP, AWS, Scikit-learn, Tensorflow, Pytorch, MLOps, FastAPI, Machine Learning, Deep Learning, Computer Vision, NLP Experimental design, Project management, Product design English - TOEIC 725 工作經歷 AI工程師 Playsee NovPresent Taipei, Taiwan 自動化標註推薦系統 設計並實踐架構取代25個標註者並及時標記和篩選視頻審核內容。 設計並優化影片
Sudah bekerja
・
Siap untuk wawancara
Full-time / Tertarik bekerja jarak jauh
4-6 tahun
National Cheng Kung University
・
心理所（認知科學所）Paket Perekrutan Paling Mudah dan Efektif, Pilihan Ratusan Perusahaan
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Latar Belakang Profesional
Status sekarang
Siswa/Mahasiswa
Tahap pencarian kerja
Profesi
Software Engineer, Python Developer, Machine Learning Engineer
Bidang Pekerjaan
Software, Intelegensi Artifisial/Pemelajaran Mesin, Robotik
Pengalaman Kerja
Kurang dari satu tahun
Management
Tidak ada
Keterampilan
Bahasa
English
・
Profesional
German
・
Fasih
Chinese
・
Bahasa ibu atau Bilingual
Preferensi Pencarian Pekerjaan
Jabatan
Software Engineer
Tipe Pekerjaan
Full-time
Lokasi
台灣台北市, 台灣新北市, 台灣新竹市新竹, 台灣桃園
Bekerja jarak jauh
Tertarik bekerja jarak jauh
Freelance
Tidak
Pendidikan
Institusi Pendidikan
國立清華大學
Jurusan
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