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4-6 years
6-10 years
10-15 years
More than 15 years
空間數據科學家 @E Source2021 ~ Present
・
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 three months
四、開發以時間序列Landsat衛星影像為主之自動偵測都市化演算法。 實驗課程教學： 一、教授遙測軟體及程式語言，包含ENVI、Erdas Imagine、TerrSet、eCognition、python和R。 二、指導及協助學生在遙測及空間分析相關計畫。 空間影像分析員 國立台灣師範大學—福衛二號影像加值中心 六
Employed
・
Not open to opportunities
Full-time / Remote Only
6-10 years
加州大學聖塔芭芭拉分校
・
地理
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
暨南大學
・
電機工程
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.2021 ~ Present
・
Software Engineer
Within one month
image preprocessing algorithm and conducted training and optimization for a cancer cell detection model. Assisted in planning and implementing cancer cell detection applications, as well as developing an auto-training application for the detection model. Computer Vision: Human Action Recognition Conducted training for a human skeleton detection model. Developed static human action recognition model based on images and dynamic human action recognition model based on videos. Autonomous Vehicle: Conducted Multiple AI Models in Perception System Trained and optimized 2D and 3D object detection models, as well as traffic light recognition models. Develope...
Employed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
・
生物產業機電工程所
Supervisor @Cortinawatch2024 ~ Present
・
Part-time worker
Within one month
expenses, daily company receipts, and payments, account balance preparation, depreciation expenses, integrated management of property catalogs, withholding of various types of income of foreigners, business tax declaration every two months, annual In January, various income declarations were consolidated and confirmed, company change and establishment registration general affairs, long-term investment recognition, overseas company change general affairs, preparation of the annual budget of the accounting department, preparation of the company's annual common expense budget, and consolidation of the company's budget data, etc... Accounting Specialist • 言鼎Accounting firm 六月七月 2014 Due to the
Employed
・
Ready to interview
Part-time / Remote Only
4-6 years
Ming Chuan University
・
Finance
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
Microsoft Azure Form Recognizer output. Seamlessly integrated Microsoft Azure services into our existing Receipt system's data pipeline. Engineered postprocessing data solutions to cater to diverse format requirements from 17 different hospitals. Designed and executed comprehensive unit tests to ensure robustness and reliability. 2. Diagnosis Recognition ServiceNLP/OCR: Continuously maintain and monitor the Diagnosis Recognition service, ensuring optimal performance. Regularly update the synonym table to align with real-world Diagnosis cases. Conduct rigorous pytest to guarantee the stability of all deployments in the production environment. JulySeptMachine Learning Engineer @ E.
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
quality data influx and elevating system performance. Developed a comprehensive MLOps service on Databricks, spanning from preprocessing to deployment. Leveraged automation tools to swiftly adapt models to new data. Developed an API service used as an internal tool within the company, leveraging OpenAI Whisper for automatic speech recognition and ChatGPT for intelligent language translation, resulting in approximately an 80% reduction in manpower and time costs. Fine-tuned a Llama-based Large Language Model (LLM) and, by integrating Langchain and Pinecone, optimized the search experience on our website. AprJulMachine Learning Researcher, Lab. for Cloud Dynamics
Unemployed
・
Ready to interview
Full-time / Interested in working remotely
4-6 years
台灣大學
・
大氣科學所Employed
・
Ready to interview
Full-time / Interested in working remotely
6-10 years
國立清華大學
・
資訊系統與應用研究所
技術專理 @鴻海2018 ~ Present
・
軟體工程師、系統架構師、PM、技術主管、AI工程師
Within one month
foundational system architecture, functional workflows, functional modules, and preliminary DB schema design planning, as well as system architecture planning and development schedule planning. Based on the schedule planning, assign modularized requirements to team members for development and assist the team in completing development tasks. Project: Smart City - Traffic Recognition System POC (Django, Vue.j, Docker, OpenCV, Elasticsearch) POC ADAS Dataset Visualization POC (Javascript, Python,) 3D SVM System (C/C++, Android, OpenCV, FastCV) Building Electricity Consumption Data Processing (Python, MySQL, Elasticsearch) Distributed Model Deployment System POC (Flask, MySQL, Docker) 2. 數據分析
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立雲林科技大學
・
資訊管理Senior Data Scientist @PTI 力成科技2016 ~ Present
・
大數據分析,資料科學家,資料工程師,AI工程師
Within one month
Employed
・
Open to opportunities
Full-time / Interested in working remotely
6-10 years
逢甲大學
・
Applied Mathematics
Senior AI Research/Engineer (part-time) @NeuroBonic Inc.2022 ~ 2023
・
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
Chun-Ti (Peter) Chou AI (DL/ML) Researcher & Engineer / Signal Processing https://www.linkedin.com/in/chun-ti-chou/ [email protected]/Hsinchu, Taiwan Ｗorking Experience and Education Senior AI Research/Engineer NeuroBonic Inc. • MarchPresent As a core startup member, I am responsible for developing a DL framework for our emotion recognition solution. The team joined AppWorks AW#25 (JulyDec, a startup acceleration program. Skills : Digital Signal Processing (SciPy, Librosa), Deep Learning (PyTorch), Project Management Master's Degree, Computer Science and
Employed
・
Open to opportunities
Full-time / Interested in working remotely
4-6 years
National Yang Ming Chiao Tung University
・
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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)