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4-6 years
6-10 years
10-15 years
More than 15 years
資深資料工程師 @緯創資通股份有限公司2020 ~ Present
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst、Solution Architect、Cloud Architect
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
元智大學 Yuan Ze University
・
工業工程與管理學所Data Engineer @Groundhog Technologies Inc.2021 ~ 2024
・
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Illinois at Urbana-Champaign, School of Information Sciences
・
Information ManagementAI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
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
Data Engineer @Tesla2023 ~ 2023
・
Data engineer / Data anyayst
Within two months
with reliable data, and saved 50% effort (Groovy, Dataproc, Spark, BigQuery, EMR, Hive, Jenkins) • Designed ETL pipeline framework and implemented it to cloud service and held user training sessions for engineers and analysts. This project was reduced by 40% maintenance efforts and increased by 60% deployment efficiency by leveraging Airflow and Kubernetes (Gitlab, Airflow, Python, K8s) Developed and deployed API to retrieve data in the cloud environment • Developed an API to retrieve data that included geo-location data from BigQuery and deployed it on the GCP environment. The API saved 80% of the time on fetching data (Cloud
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
University of Texas at Dallas
・
Information Technology and Management
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 ~ Present
・
AI Engineer
Within one month
Data Scientist Intern @ Cathay Financial Holdings. 國泰金控 Digital data & Technology (DDT, 數數發) Research into Interpretable Machine Learning and its existing algorithms. Experimented LIME & SHAP on open data. ( GitHub ) Real Estate Evaluation model – Geographical/Credit Card data gathering, cleaning, feature engineering (Hit-rate performance improved from 55% to 70%) Python Machine learning Data Pipelines Web Crawlers PyTorch, Airflow, Pandas, docker SQL Extract-Transform-Load(ETL) Efficiency(Window Functions) Language Chinese(Native) English (TOEIC 905/990 TOEFL 96/120) Project(@ Esun only) ( Powerpoint demo link, clic...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學 National Taiwan University
・
Business Administration
Past
Lead Data Scientist / Senior Data Scientist @Vinnovation Network 維諾森資訊科技2022 ~ 2023
・
資料科學家、資料科學工程師、機器學習工程師
Within one month
import traditional CSV files. Utilized Databricks for large-scale data processing, leveraging its Spark capabilities to efficiently transform and aggregate incoming data streams. With the combined power of Databricks and AWS Lambda, ensured unparalleled data consistency, quality, and preparedness for sophisticated analytics and reporting. Utilized Databricks and Airflow to run extensive data profiling tasks, analyzing data patterns and identifying potential quality issues before they reached the Databricks Delta Lake. Established robust guardrails using the combined might of AWS Lambda, Apache Airflow and Databricks, ensuring that data stored in the DataBricks Delta Lake consistently met the highest
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
大氣科學所
Product Markeitng Manager @EATON2023 ~ Present
・
PM/產品經理/專案管理
Within one month
potential opportunities and drive design wins marketing strategy ●Responsible for 3 Product lines(25 models; Power Supply Unit/Cooler/Chassis) Go To Marketing material ●Launched the world's first ATX3.0 Power Supply unit onto the market ● Establish PC DIY Guideline for Global Channel & End User (Airflow Data, Thermal performance Installation guideline, Gaming performance guideline) Product Trend Analysis and Crisis management 1. Collect market research to identify customer needs and market trends, such as future product development and improvement plans 2. Continuously big data public opinion analysis and conducting comprehensive user analysis are based
Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
National Cheng Kung University
・
IMBA
DevSecOps工程師 @巨展數位科技2023 ~ Present
・
架構師、技術主管、DevOps(DevSecOps,DataOps,MLOps)
Within one month
估等數據與機器學習的問題變得有趣的問題。 目前關注學習目標 nodejs、go、GCP、dataOps/MLOps、k8s/docker、ansible/cobbler(配置管理)、jenkins/gitlab-ci(ci/cd)、airflow、mlflow、nginx、redmine/testlink(需求與issume管理)、git/dvc(版本管理)、Scikit-learning/TensorFlow(機器學習/深度學習) ▲豐富的軟體產品與專案開發▲ 豐富且多
Employed
・
Ready to interview
Full-time / Interested in working remotely
More than 15 years
淡江大學-資訊工程所-博士班
・
資訊工程所
Data engineer @H2 Inc.2021 ~ Present
・
AI engineer, ML engineer, data scientist
Within three months
to-end deployment 並根據用戶回饋建立 retrain system - 幫助公司 app 增加 6 % 用戶參與度並獲得 70 % 用戶滿意度 - 運用 DVC 建置 model experiment tracking, dataset versioning 以及 model management 【Airflow 定期排程以及維運 data reports】 - 創建 2 個 ETL pipeline - 幫助 3 個不同部門維護 8 個 data reports - 利用 python 去處理並且整合 SQL, Google big query, AWS S3 bucket 不同
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
清華大學
・
動力機械工程學系
Principle Engineer @HTC2023 ~ Present
・
Software Engineer / Backend Engineer
Within one month
蔡智鈞 Principle Engineer Work Experience AugustPresent Principle Engineer HTC Build a source code scanning pipeline with CodeQL on Jenkins for 150+ projects. Build a packages scanning pipeline with Yarn on Jenkins for 30+ projects. Implement cache mechanism to archive 40% performance optimization for Jenkins pipeline. JuneMarch 2023 Software Engineer 國立暨南國際大學(National Chi Nan University) # Air quality IoT analytics systemLed a team in building an IoT device management and data analytics system using microservice architecture with Docker. Achieved 99% SLA and under 10 seconds data
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
AppWorks School
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Blockchain ProgramThe Most Lightweight and Effective Recruiting Plan
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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
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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
Employed
Job Search Progress
Ready to interview
Professions
Machine Learning Engineer, Data Scientist, Software Engineer
Fields of Employment
Artificial Intelligence / Machine Learning, Big Data, Software
Work experience
4-6 years
Management
I've had experience in managing 1-5 people
Skills
Languages
English
・
Intermediate
Job search preferences
Positions
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
Job types
Full-time
Locations
Remote
Interested in working remotely
Freelance
Educations
School
國立政治大學（National Chengchi University）
Major
資訊科學系
宋浩茹 Hao-Ru Sung
0912208677 | [email protected] | LinkedIn｜ GitHub
As a Research Assistant at Academia Sinica, specializing in Generative AI research and application.
With 3+ years of experience in NLP and 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, Git, Docker, Jenkins, Line Bot, Azure Bot Service, Tableau
ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT
Research and Work Experience
Research Assistant Oct 2023 - Present
Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab)
- National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs (e.g., LLaMA2, Zephyr.) in medical Q&A applications, improving model performance by 2.01%.
- Efficiency Optimization: Utilized Low-Rank Adaptation (LoRA) for training LLM, reducing parameter training volume to 2%, decreasing memory usage by 70%, and increasing training speed by 25%.
- Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ GitHub ]
Graduate Research Assistant Oct 2021 - Oct 2023
Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab)
- Publication: Published in ACM CIKM 2023.
- Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6%, e.g., GPT3.5-Turbo, LLaMA, and Vicuna.
- Fine-tuned LLaMA based models (Alpaca, Vicuna) with LoRA and Adapter.
- Dataset Release: Open-source text update dataset (STKU Dataset).
TA - Natural Language Processing with Deep Learning Course Feb 2023 - Jul 2023
National Chengchi University , Dept. of Computer Science
- Student Count in Class: Served as a Teaching Assistant for NLP, catering to 90 students.
- Provided individualized guidance to students, aiding them in completing coursework and research projects, and offering assessments and feedback to ensure effective learning outcomes.
Software Engineer (Founding member) Sep 2019 - June 2020
DATODING (Start-Up) 《 Microsoft Startup Program - Initial Selection Passed 》
- Chatbot Development & Full-Stack Development : Executed real-time messaging and multimedia functions using SignalR and WebSocket. Used MongoDB and Redis for message and stream file storage.
- CI/CD: Executed CI/CD processes using Jenkins.
- Testing : Unit test, Integration testing, and Selenium test.
Software Engineering Intern Jul 2018 - Sep 2018
Kingston Technology
- AI - SSD Quality Detection System: Trained image recognition models for AOI equipment and manual defect detection, and developed a system for continuous optimization and automation of the models.
- Chatbot Development: Integrated the detection model into a chatbot to enable remote operation and monitoring, enhancing the flexibility and convenience of the service.
- Technical Training: Instructed team on Power BI for data analysis and visualization.
Education
National Chengchi University (NCCU) Sep 2021 - Sep 2023
Departmant of Computer Science, Master's Degree
- GPA: 4.04 / 4.30
- Advised by Tsai-Yen Li and Hen-Hsen Huang.
- Essay: Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models.
- Honor: Received the Academia Sinica Graduate Scholarship.
Publication
Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
Hao-Ru Sung , Ying-Jhe Tang , Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang
In Proceedings of the 32th ACM International Conference on Information and Knowledge
Management (CIKM'23). October 2023 , Birmingham, UK . (Oral Presentation)
Projects
Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
Focused on updating knowledge summaries of real-time news events to enhance article accuracy. Achieved an 18.8% performance improvement over traditional methods and surpassed SOTA LLMs , e.g., ChatGPT, Llama, and Vicuna. [ GitHub ]
Award: Published at the International Conference ACM CIKM 2023.2021 AI CUP Competition on Traditional Chinese Scene Text Recognition - Advanced Contest :
Text Spotting and Recognition in Complex Streetscapes.
Developed a Two-Stage Model that, through innovative OCR techniques and data augmentation, achieved a 3.74% increase in accuracy. [ GitHub ]
Award: Received Top 25% Award. [ Show credential ]- AI Image Recognition - SSD Quality Detection System
The project aims to enhance product inspection and reduce reinspection personnel by training an object detection model with labeled SSD images from Kingston's production line, optimizing it through a web interface, and integrating it into Azure Bot Service for real-time interaction. - Identify Personality From Dynamic Facial Expressions
The study explores dynamic expressions link to personality traits, employing the IPIP-NEO and recorded Q&A sessions for data, then employing K-means and Markov Model for analysis.More accurately predicts personality traits than ordinary friends. [ GitHub ]
Award: First place in university project research competition.
Patents
Gold Medal - Tokyo Innovation Genius International Invention
This product offers a composite cutting board designed to efficiently drain liquid, preventing surface accumulation, while also providing storage and knife positioning.
Taiwan Patent Certificate No. M526355. [ See patent ]
Self-learning Certificates
- Machine Learning Operations (MLOps): Getting Started - Coursera
- Machine Learning Specialization - Deeplearning.AI (In progress)
宋浩茹 Hao-Ru Sung
0912208677 | [email protected] | LinkedIn｜ GitHub
As a Research Assistant at Academia Sinica, specializing in Generative AI research and application.
With 3+ years of experience in NLP and 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, Git, Docker, Jenkins, Line Bot, Azure Bot Service, Tableau
ML & NLP Techniques: LMOps, RAG, Fine-tune LLMs, Text Generation, Multi-Document Summarization, Recommendation System, Text Classification, Named Entity Recognition, CoT
Research and Work Experience
Research Assistant Oct 2023 - Present
Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab)
- National Taiwan University Hospital (NTUH): Focused on exploring the generality and expertise of LLMs (e.g., LLaMA2, Zephyr.) in medical Q&A applications, improving model performance by 2.01%.
- Efficiency Optimization: Utilized Low-Rank Adaptation (LoRA) for training LLM, reducing parameter training volume to 2%, decreasing memory usage by 70%, and increasing training speed by 25%.
- Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ GitHub ]
Graduate Research Assistant Oct 2021 - Oct 2023
Institute of Information Science, Academia Sinica, Taiwan
Natural Language and Knowledge Processing Lab (NLP Lab)
- Publication: Published in ACM CIKM 2023.
- Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6%, e.g., GPT3.5-Turbo, LLaMA, and Vicuna.
- Fine-tuned LLaMA based models (Alpaca, Vicuna) with LoRA and Adapter.
- Dataset Release: Open-source text update dataset (STKU Dataset).
TA - Natural Language Processing with Deep Learning Course Feb 2023 - Jul 2023
National Chengchi University , Dept. of Computer Science
- Student Count in Class: Served as a Teaching Assistant for NLP, catering to 90 students.
- Provided individualized guidance to students, aiding them in completing coursework and research projects, and offering assessments and feedback to ensure effective learning outcomes.
Software Engineer (Founding member) Sep 2019 - June 2020
DATODING (Start-Up) 《 Microsoft Startup Program - Initial Selection Passed 》
- Chatbot Development & Full-Stack Development : Executed real-time messaging and multimedia functions using SignalR and WebSocket. Used MongoDB and Redis for message and stream file storage.
- CI/CD: Executed CI/CD processes using Jenkins.
- Testing : Unit test, Integration testing, and Selenium test.
Software Engineering Intern Jul 2018 - Sep 2018
Kingston Technology
- AI - SSD Quality Detection System: Trained image recognition models for AOI equipment and manual defect detection, and developed a system for continuous optimization and automation of the models.
- Chatbot Development: Integrated the detection model into a chatbot to enable remote operation and monitoring, enhancing the flexibility and convenience of the service.
- Technical Training: Instructed team on Power BI for data analysis and visualization.
Education
National Chengchi University (NCCU) Sep 2021 - Sep 2023
Departmant of Computer Science, Master's Degree
- GPA: 4.04 / 4.30
- Advised by Tsai-Yen Li and Hen-Hsen Huang.
- Essay: Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models.
- Honor: Received the Academia Sinica Graduate Scholarship.
Publication
Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
Hao-Ru Sung , Ying-Jhe Tang , Yu-Chung Cheng, Pai-Lin Chen, Tsai-Yen Li and Hen-Hsen Huang
In Proceedings of the 32th ACM International Conference on Information and Knowledge
Management (CIKM'23). October 2023 , Birmingham, UK . (Oral Presentation)
Projects
Sequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models
Focused on updating knowledge summaries of real-time news events to enhance article accuracy. Achieved an 18.8% performance improvement over traditional methods and surpassed SOTA LLMs , e.g., ChatGPT, Llama, and Vicuna. [ GitHub ]
Award: Published at the International Conference ACM CIKM 2023.2021 AI CUP Competition on Traditional Chinese Scene Text Recognition - Advanced Contest :
Text Spotting and Recognition in Complex Streetscapes.
Developed a Two-Stage Model that, through innovative OCR techniques and data augmentation, achieved a 3.74% increase in accuracy. [ GitHub ]
Award: Received Top 25% Award. [ Show credential ]- AI Image Recognition - SSD Quality Detection System
The project aims to enhance product inspection and reduce reinspection personnel by training an object detection model with labeled SSD images from Kingston's production line, optimizing it through a web interface, and integrating it into Azure Bot Service for real-time interaction. - Identify Personality From Dynamic Facial Expressions
The study explores dynamic expressions link to personality traits, employing the IPIP-NEO and recorded Q&A sessions for data, then employing K-means and Markov Model for analysis.More accurately predicts personality traits than ordinary friends. [ GitHub ]
Award: First place in university project research competition.
Patents
Gold Medal - Tokyo Innovation Genius International Invention
This product offers a composite cutting board designed to efficiently drain liquid, preventing surface accumulation, while also providing storage and knife positioning.
Taiwan Patent Certificate No. M526355. [ See patent ]
Self-learning Certificates
- Machine Learning Operations (MLOps): Getting Started - Coursera
- Machine Learning Specialization - Deeplearning.AI (In progress)