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Principal @Cascade Data Labs2016 ~ 2022
・
Director Data
Within two months
Emily Ledoux Delivery Principal Seasoned Delivery Principal in the Data Practice. Focused on designing robust, scalable data ecosystems in the cloud to feed insights and data visualizations. Well-rounded consultant with experience spanning sales, recruiting, and delivery. Proven Delivery & Client Lead. Portland, OR, USA https://www.linkedin.com/in/emily-ledoux/ Work Experience JanuaryPresent Principal Data Architect Kin + Carta Delivery or Client Lead for over 25 resources, including direct reports, delivery oversight, hours tracking, QBRs, onboarding management, budget ownership and related responsibilities. Cloud Architect, designing Azure and
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
University of Pennsylvania
・
Economics
Senior Analyst, Software Engineer @Synpulse Taiwan Ltd. | 星普思管理諮詢有限公司2022 ~ Present
・
Software Developer
Within one month
李仕航 Sean Lee About me • Capable in multiple programming languages, such as Python, Java, C#, etc. •With mature database management skills, including SQL and NoSQL DB • Experience with development tools, like Visual studio, Azure, Git, Gira •With knowledge of web development, including HTML, CSS, ASP.NET, Javascript, React.js • With AI related knowledge, including NLP, machine learning and data manipulation •Be able to pick up new skills and stay updated of emerging technologies Taipei, Taiwan Contact Email: [email protected] Mobile:LinkedIn: https://www.linkedin.com/in
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
Queensland University of Technology(昆士蘭科技大學)
・
Computer Science
Employed
Full-time
4-6 years
國立中央大學
・
認知與神經科學所Senior Backend Developer @KryptoGO., Ltd.2019 ~ 2020
・
Senior Backend Engineer
Within three months
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
6-10 years
National TSING HUA University
・
Institute of Communications Engineering
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
Within one month
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
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學（National Chengchi University）
・
資訊科學系Founder @MyDearTeacher2014 ~ 2022
・
Data, backend or project management
Within six months
Employed
Full-time / Interested in working remotely
6-10 years
University of Colorado Boulder
・
Data Science
Sessional Assistant @Victoria University of Wellington2022 ~ 2023
・
Researcher, Lecturer
Within six months
Hafiza Anam Masood I am a highly ambitious and self-driven individual skilled in Advanced Quantitative Research and Applied Methodology, currently immersed in a cutting-edge research project utilizing machine learning and NLP. Certified in Python for Financial Programming and Data Science Tools, complemented by practical insights from an Ethical Finance internship. Completed the Cambridge Islamic Finance Structuring Master, showcasing a global perspective. Proven proficiency in diverse Python projects, eager to contribute to impactful educational endeavors. https://www.linkedin.com/in/hafiza-anam-masood-ba7b09121 , Email: drhafizaanam@gmail.
Studying
Full-time / Interested in working remotely
6-10 years
University of Management and Technology - UMT
Software Engineer @CakeResume2022 ~ Present
・
Software Engineer
Within one month
analytics tools and event tracking systems. Spearheaded the integration of Strapi (a content management system), enhancing the team's ability to quickly produce pages and distribute content . Pioneered the integration of LLM model API services. Research Assistant, Academia Sinica 11//2020 Conducted research in deep learning-based Natural Language Processing (NLP), exploring innovative approaches in machine learning. Experimented with various training methods and models, including multi-task learning and language models such as BERT. Authored a publication titled "Detecting Deceptive Language in Crime Interrogation". Investigated Memory Networks and applied them to develop
Reputation Credits1
Employed
・
Not open to opportunities
Full-time / Interested in working remotely
10-15 years
National Taiwan University
・
Computer Science and Information Engineering
Offline
Offline
ML / Data Engineer
Within one year
+ years' experiences in NLP, Computer Vision, recommendation system. Passionate about machine learning, data mining, NLP, Computer Vision and big data analytics. Skills Programming Languages C/C++ Python SQL R Swift Java Data Engineering / Machine Learning Tools Scikit-Learn, Numpy, Pandas Tensorflow, Keras, Pytorch NLP: Gensim, Jieba, BERT Visualization: pyplot, ggplot2 Similarity Search: Faiss Workflow: Airflow Cloud: GCP BigQuery, GAE, GCE, GCS, Dataproc, Dataflow, Data Studio DB: MySQL, PostgreSQL Search Engine: ElasticSearch Distributed Computing: pyspark Docker Domain Knowledge Machine Learning: SVM, Logistic Regression, Random Forest, GBM,...etc. Deep Learning: CNN
Full-time / Not interested in working remotely
6-10 years
交通大學
・
資訊工程
Past
Career transition @Career Break2024 ~ 2024
・
NLP Engineer / Data Scientist / Machine Learning Engineer
Within one month
江易倫 Data Scientist | Python | SQL | NLP | GenAI 具備5年以上程式撰寫能力，擅長Python、SQL與Linux 擅長資料清洗、分析與分類貼標 具有自然語言處理與研究經驗 大型語言模型LLM及生成式AI訓練與使用經驗 RAG技術使用與知識庫建立經驗 過往研究專案 中華電信智能標籤案
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
National Chengchi 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
Job Search Progress
Professions
Data Engineer
Fields of Employment
Work experience
6-10 years
Management
Skills
Languages
Job search preferences
Positions
ML / Data Engineer
Job types
Full-time
Locations
Remote
Not interested in working remotely
Freelance
Educations
School
Major
Summary
- Software engineer with 8+ years' experiences in mobile protocol stack, middleware and apps development in C.
- ML engineer with 3+ years' experiences in NLP, Computer Vision, recommendation system.
- Passionate about machine learning, data mining, NLP, Computer Vision and big data analytics.
Skills
Programming Languages
- C/C++
- Python
- SQL
- R
- Swift
- Java
Data Engineering / Machine Learning Tools
- Scikit-Learn, Numpy, Pandas
- Tensorflow, Keras, Pytorch
- NLP: Gensim, Jieba, BERT
- Visualization: pyplot, ggplot2
- Similarity Search: Faiss
- Workflow: Airflow
- Cloud: GCP BigQuery, GAE, GCE, GCS, Dataproc, Dataflow, Data Studio
- DB: MySQL, PostgreSQL
- Search Engine: ElasticSearch
- Distributed Computing: pyspark
- Docker
Domain Knowledge
- Machine Learning: SVM, Logistic Regression, Random Forest, GBM,...etc.
- Deep Learning: CNN, RNN, LSTM, Transformer, BERT, Word Embedding, Object Detection, Reinforcement Learning, ...etc.
- Mobile Protocols: GPRS/WCDMA/HSPA, TCP/IP
Education
National Chiao Tung University, Taiwan，Sep. 2003 - Oct. 2005
M.S. in Computer Science and Engineering
National Chiao Tung University, Taiwan，Sep. 1999 - Jun. 2003
B.S. in Computer Science and Engineering
Experiences
ML Engineer，May. 2022 – Present
RevoVision, Taiwan
- Spam and profanity filter for online casino chat rooms
- compared with the original design, the mistaken deletion rate is reduced by 20% ~ 30%
- Automatic user nickname change audit system
- accuracy: about 98%
- Dealer Photo Cropping Tool
- automatically generate thumbnails that can be used as game room dealer headshots
- automatically horizontally flip the thumbnails to make each dealer face the same direction in the photo
- save manpower and time required for manual cropping
- Assist in risk analysis of various online casino games
Senior Algorithm Engineer，Jun. 2018 – Aug. 2020
PIXNET, Taiwan
- Adopt BERT to Implement auto reply feature for customer service department
- Implemented search by Image service
- one can search similar images and related BLOG articles in PIXNET with a photo
- Word suggestion API for PIXNET bloggers
- will provide recent hot keywords or names of POIs for bloggers to add hashtags according to what they type
- Algorithms implementation to recommend hot related articles
- 4%~8% CTR improvement
- Voice check-in system for PIXNET HACKATHON 2018
- Photo Style Transfer for PIXNET Social Summit 2019
Postgraduate，Jan. 2018 – Apr. 2018
Taiwan AI Academy, Taiwan
- This bootcamp covers traditional ML and Deep Learning technologies.
- Programming Language: Python / R
- Final Project: Photo Teller - Image Caption
- http://www.phototeller.ml/
- Merit Award of Final Project Presentation of Taiwan AI Academy
- Adopt CNN to extract image features, and attention model to help LSTM language model generate captions
- Implement in Tensorflow(main model) and Keras(image feature extraction)
- Competition: T-brain file agnostic malware detection
- https://tbrain.trendmicro.com.tw/Competitions/Details/1
- rank 20% in competition, AUC 0.924134
- Adopt XGBoost with GridSearch to perform logistic regression and predict if a file is a malware
Principal Software Engineer，Sep. 2012 – Mar. 2015
MediaTek, Taiwan
- Responsible for 3G L2 Network Protocols software maintenance
- Implemented L2 RLC/BMC part for dual SIM/dual standby projects
Senior Software Engineer，May. 2007 - Sep. 2012
MStar Semiconductor, Taiwan
- Responsible for 2.5G L2/L3 Data Plane Network Protocols
- Designed and modified the MStar proprietary TCP/IP and DCHP to support Wi-Fi feature
- Developed new data delivery mechanism to enhance data throughput of Wi-Fi. Throughput raised by 50% and MIPS consumption reduced by 40%
- Supported the multimedia team for the Tudou HTTP/RTSP video streaming app (www.mstarsemi.com/tw/news.php#64)
Software Engineer，Feb. 2006 - Apr. 2007
BenQ, Taiwan
- Ported a 3rd party QR code scanner solution and implemented the corresponding app
- Ported a picture rendering solution (Scalado) to speed up the pictures / thumbnails rendering
Courses & Certificates
- Coursera Data Engineering, Big Data, and Machine Learning on GCP Sep. 2021
- Coursera Smart Analytics, Machine Learning, and AI on GCP Sep. 2021
- Coursera Building Resilient Streaming Analytics Systems on GCP Aug. 2021
- Coursera Building Batch Data Pipelines on GCP Jul. 2021
- Coursera Modernizing Data Lakes and Data Warehouses with GCP Jul. 2021
- Coursera Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform Jul. 2018
- Coursera Google Cloud Platform Big Data and Machine Learning Fundamentals Jun. 2018
- Taiwan AI Academy courses Jan. 2018 - Apr. 2018
- Udemy R Programming A-Z: R for Data Science with Real Exercises Jan. 2018
- Udemy The Complete IOS 10 & Swift 3 Developer Course Oct. 2017
- NTU@Coursera Machine Learning Foundations & Techniques Jun. 2017
Summary
- Software engineer with 8+ years' experiences in mobile protocol stack, middleware and apps development in C.
- ML engineer with 3+ years' experiences in NLP, Computer Vision, recommendation system.
- Passionate about machine learning, data mining, NLP, Computer Vision and big data analytics.
Skills
Programming Languages
- C/C++
- Python
- SQL
- R
- Swift
- Java
Data Engineering / Machine Learning Tools
- Scikit-Learn, Numpy, Pandas
- Tensorflow, Keras, Pytorch
- NLP: Gensim, Jieba, BERT
- Visualization: pyplot, ggplot2
- Similarity Search: Faiss
- Workflow: Airflow
- Cloud: GCP BigQuery, GAE, GCE, GCS, Dataproc, Dataflow, Data Studio
- DB: MySQL, PostgreSQL
- Search Engine: ElasticSearch
- Distributed Computing: pyspark
- Docker
Domain Knowledge
- Machine Learning: SVM, Logistic Regression, Random Forest, GBM,...etc.
- Deep Learning: CNN, RNN, LSTM, Transformer, BERT, Word Embedding, Object Detection, Reinforcement Learning, ...etc.
- Mobile Protocols: GPRS/WCDMA/HSPA, TCP/IP
Education
National Chiao Tung University, Taiwan，Sep. 2003 - Oct. 2005
M.S. in Computer Science and Engineering
National Chiao Tung University, Taiwan，Sep. 1999 - Jun. 2003
B.S. in Computer Science and Engineering
Experiences
ML Engineer，May. 2022 – Present
RevoVision, Taiwan
- Spam and profanity filter for online casino chat rooms
- compared with the original design, the mistaken deletion rate is reduced by 20% ~ 30%
- Automatic user nickname change audit system
- accuracy: about 98%
- Dealer Photo Cropping Tool
- automatically generate thumbnails that can be used as game room dealer headshots
- automatically horizontally flip the thumbnails to make each dealer face the same direction in the photo
- save manpower and time required for manual cropping
- Assist in risk analysis of various online casino games
Senior Algorithm Engineer，Jun. 2018 – Aug. 2020
PIXNET, Taiwan
- Adopt BERT to Implement auto reply feature for customer service department
- Implemented search by Image service
- one can search similar images and related BLOG articles in PIXNET with a photo
- Word suggestion API for PIXNET bloggers
- will provide recent hot keywords or names of POIs for bloggers to add hashtags according to what they type
- Algorithms implementation to recommend hot related articles
- 4%~8% CTR improvement
- Voice check-in system for PIXNET HACKATHON 2018
- Photo Style Transfer for PIXNET Social Summit 2019
Postgraduate，Jan. 2018 – Apr. 2018
Taiwan AI Academy, Taiwan
- This bootcamp covers traditional ML and Deep Learning technologies.
- Programming Language: Python / R
- Final Project: Photo Teller - Image Caption
- http://www.phototeller.ml/
- Merit Award of Final Project Presentation of Taiwan AI Academy
- Adopt CNN to extract image features, and attention model to help LSTM language model generate captions
- Implement in Tensorflow(main model) and Keras(image feature extraction)
- Competition: T-brain file agnostic malware detection
- https://tbrain.trendmicro.com.tw/Competitions/Details/1
- rank 20% in competition, AUC 0.924134
- Adopt XGBoost with GridSearch to perform logistic regression and predict if a file is a malware
Principal Software Engineer，Sep. 2012 – Mar. 2015
MediaTek, Taiwan
- Responsible for 3G L2 Network Protocols software maintenance
- Implemented L2 RLC/BMC part for dual SIM/dual standby projects
Senior Software Engineer，May. 2007 - Sep. 2012
MStar Semiconductor, Taiwan
- Responsible for 2.5G L2/L3 Data Plane Network Protocols
- Designed and modified the MStar proprietary TCP/IP and DCHP to support Wi-Fi feature
- Developed new data delivery mechanism to enhance data throughput of Wi-Fi. Throughput raised by 50% and MIPS consumption reduced by 40%
- Supported the multimedia team for the Tudou HTTP/RTSP video streaming app (www.mstarsemi.com/tw/news.php#64)
Software Engineer，Feb. 2006 - Apr. 2007
BenQ, Taiwan
- Ported a 3rd party QR code scanner solution and implemented the corresponding app
- Ported a picture rendering solution (Scalado) to speed up the pictures / thumbnails rendering
Courses & Certificates
- Coursera Data Engineering, Big Data, and Machine Learning on GCP Sep. 2021
- Coursera Smart Analytics, Machine Learning, and AI on GCP Sep. 2021
- Coursera Building Resilient Streaming Analytics Systems on GCP Aug. 2021
- Coursera Building Batch Data Pipelines on GCP Jul. 2021
- Coursera Modernizing Data Lakes and Data Warehouses with GCP Jul. 2021
- Coursera Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform Jul. 2018
- Coursera Google Cloud Platform Big Data and Machine Learning Fundamentals Jun. 2018
- Taiwan AI Academy courses Jan. 2018 - Apr. 2018
- Udemy R Programming A-Z: R for Data Science with Real Exercises Jan. 2018
- Udemy The Complete IOS 10 & Swift 3 Developer Course Oct. 2017
- NTU@Coursera Machine Learning Foundations & Techniques Jun. 2017