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职场能力评价定义
As an Indonesian Overseas Chinese in Taiwan, I hold a Master's in Computer Science from National Taiwan University (GPA: 4.06/4.30) and a degree in Information Management from NTUST. My academic pursuits, deeply rooted in deep learning for healthcare data analysis, have involved working with advanced Language Learning Models (LLMs) like BERT and GPT, sparking a keen interest in data-driven solutions and machine learning optimization. Currently, as a Data Engineer, I apply my skills in Python, Torch, SQL, and various deep learning frameworks to address challenges in server optimization and software validation, with a particular focus on enhancing natural language processing and machine learning through LLMs. My multilingual proficiency in English, Indonesian, and Chinese complements my passion for leveraging data in healthcare advancements, enabling me to excel in diverse, international environments.
Work Experience
Data Engineer • Lenovo
October 2023 - Present
Leading the end-to-end data engineering process, specializing in server hardware, firmware, and software validation. My role emphasizes international collaboration, particularly with teams in the U.S. and Beijing, to apply data science methodologies. This includes using LLM techniques to enhance deep learning and predictive analytics, aiming to revolutionize server performance and reliability testing. Key responsibilities include:
Data Pipeline Development: Crafted and deployed robust, scalable data pipelines using tools like Apache Kafka and Apache Beam, significantly boosting data analysis and integration across teams in Taiwan, the U.S., and Beijing.
Predictive Modeling: Engineered advanced tabular deep learning models for server validation, incorporating LLM models like Qwen and Mixtral, alongside TensorFlow and PyTorch, to refine predictive analytics and enhance server reliability.
Big Data Engineering: Oversaw the processing and analytical examination of over 200 million data points of server hardware data, leveraging BigQuery and Spark for efficient management and large-scale processing.
Cross-Regional Collaboration: Demonstrated exemplary international collaboration skills by working seamlessly with diverse teams across Taiwan, the U.S., and Beijing, employing my adaptability and cultural competence to merge data-driven solutions effectively.
AI Researcher (Deep Learning) • 國立台灣大學（National Taiwan University）
September 2021 - August 2023
As an academic member at NTU AI² Lab under Prof. Chu-Song Chen, I focused on leveraging advanced AI and LLM technologies for enhancing medical decision-making at NTU Hospital. Specializes in high-end computational models and libraries to push forward the capabilities of AI in healthcare. Key contributions include:
- Medical Transformer-based LLMs: Optimized transformer-based LLMs for medical decision support, utilizing advanced parameter tuning techniques to enhance model performance and applicability in healthcare.
- Applying YOLOv4 for Computer Vision: Implemented YOLOv4 for cutting-edge medical image analysis, advancing the precision and efficiency of diagnostic processes.
- Developing BERT-based Models with PyTorch: Engineered private BERT-based LLMs using PyTorch, tailored to extract and analyze complex patterns in clinical data.
- Curating Diverse Datasets: Oversaw the compilation and management of wide-ranging datasets, applying tools such as Pandas for data manipulation and Scikit-learn for predictive analytics, to fuel model training and generate valuable healthcare insights.
Mobile Application Developer • 同合順企業有限公司
August 2021 - August 2023
Platform development with focus on creating robust, scalable backend systems and integrating cutting-edge AI technologies to improve app functionality and user experience. My contributions spanned several key areas:
Flutter & Java App Development: Built scalable, user-focused apps with Flutter and Java, emphasizing intuitive UI/UX designs. Employed advanced techniques for smooth, cross-platform functionality.
Python, Flask Backend & AI Models: Leveraged Flask in Python for backend services, integrating TensorFlow for AI-driven NLP models to optimize the KYC process, enhancing security and user verification processes.
Bloc for State Management: Implemented Bloc for sophisticated data management, ensuring fluid state management and reactivity within applications.
CI/CD & Automated Testing: Adopted Github's CI/CD pipelines and automated testing, maintaining high standards of code quality and accelerating development cycles.
Machine Learning Engineer • DOWN Dating & Social Apps
June 2021 - September 2021
Specialized in developing recommendation algorithms to match users based on preferences and back-end solutions to support a user base of over 8 million. My key responsibilities included:
Machine Learning & Recommendation Systems: Used Python with TensorFlow and Scikit-learn for advanced models and recommendations, boosting user engagement through tailored content.
Scalable Back-End Services: Developed scalable back-end solutions using Node.js and MongoDB, ensuring smooth user experiences as our base expanded.
Data Science & Analytics: Analyzed 400+ million data points with Pandas and Jupyter, applying predictive analytics to drive informed decisions.
Data Scientist • Supertype
September 2020 - March 2021
Participated in a half-work, half-study program, focusing on applying data science and engineering to solve real-world commercial challenges. My involvement centered around:
Python Data Analysis: Leveraged Pandas and NumPy for data manipulation, and visualized insights using Matplotlib and Seaborn.
Deployment with Docker: Utilized Docker for streamlined app deployment, enhancing consistency across environments.
Flask Web Development: Developed Flask-based web services, integrating RESTful APIs and managing databases with SQLAlchemy for efficient web solutions.
Education
Sept 2021 - July 2023
National Taiwan University 國立台灣大學, Graduate Institute of Computer Science
Master of Computer Science ( GPA: 4.06/4.3 )
Honors: Graduated with distinguished thesis publication
Sept 2018 - July 2021
National Taiwan University of Science and Technology 國立台灣科技大學
Information Management ( GPA: 4.14/4.3 )
Honors: Cumlaude, top of the class for 3 consecutive years and graduated early in 3 years
My Projects
"Speak It" mobile application | Fullstack, 2022
- Platform development: React-native & Javascript
- Deployment: Google Cloud Platform (GCP)
- Model: HuggingFace BERT LLM model
"So Clean" web application | Backend, 2021
- Frontend: Python Flask
- Backend: React.js & Javascript
- Database: Mongo DB
Skills
Machine Learning
- Computer vision deep learning
- LLMs (BERT & GPT)
- Big data processing & ETL
Software Develop
- Flutter mobile app
- Python & Javascript RESTful API
- CI/CD
Language
- Chinese
- English (IELTS 7.5)
- Indonesian
As an Indonesian Overseas Chinese in Taiwan, I hold a Master's in Computer Science from National Taiwan University (GPA: 4.06/4.30) and a degree in Information Management from NTUST. My academic pursuits, deeply rooted in deep learning for healthcare data analysis, have involved working with advanced Language Learning Models (LLMs) like BERT and GPT, sparking a keen interest in data-driven solutions and machine learning optimization. Currently, as a Data Engineer, I apply my skills in Python, Torch, SQL, and various deep learning frameworks to address challenges in server optimization and software validation, with a particular focus on enhancing natural language processing and machine learning through LLMs. My multilingual proficiency in English, Indonesian, and Chinese complements my passion for leveraging data in healthcare advancements, enabling me to excel in diverse, international environments.
Work Experience
Data Engineer • Lenovo
October 2023 - Present
Leading the end-to-end data engineering process, specializing in server hardware, firmware, and software validation. My role emphasizes international collaboration, particularly with teams in the U.S. and Beijing, to apply data science methodologies. This includes using LLM techniques to enhance deep learning and predictive analytics, aiming to revolutionize server performance and reliability testing. Key responsibilities include:
Data Pipeline Development: Crafted and deployed robust, scalable data pipelines using tools like Apache Kafka and Apache Beam, significantly boosting data analysis and integration across teams in Taiwan, the U.S., and Beijing.
Predictive Modeling: Engineered advanced tabular deep learning models for server validation, incorporating LLM models like Qwen and Mixtral, alongside TensorFlow and PyTorch, to refine predictive analytics and enhance server reliability.
Big Data Engineering: Oversaw the processing and analytical examination of over 200 million data points of server hardware data, leveraging BigQuery and Spark for efficient management and large-scale processing.
Cross-Regional Collaboration: Demonstrated exemplary international collaboration skills by working seamlessly with diverse teams across Taiwan, the U.S., and Beijing, employing my adaptability and cultural competence to merge data-driven solutions effectively.
AI Researcher (Deep Learning) • 國立台灣大學（National Taiwan University）
September 2021 - August 2023
As an academic member at NTU AI² Lab under Prof. Chu-Song Chen, I focused on leveraging advanced AI and LLM technologies for enhancing medical decision-making at NTU Hospital. Specializes in high-end computational models and libraries to push forward the capabilities of AI in healthcare. Key contributions include:
- Medical Transformer-based LLMs: Optimized transformer-based LLMs for medical decision support, utilizing advanced parameter tuning techniques to enhance model performance and applicability in healthcare.
- Applying YOLOv4 for Computer Vision: Implemented YOLOv4 for cutting-edge medical image analysis, advancing the precision and efficiency of diagnostic processes.
- Developing BERT-based Models with PyTorch: Engineered private BERT-based LLMs using PyTorch, tailored to extract and analyze complex patterns in clinical data.
- Curating Diverse Datasets: Oversaw the compilation and management of wide-ranging datasets, applying tools such as Pandas for data manipulation and Scikit-learn for predictive analytics, to fuel model training and generate valuable healthcare insights.
Mobile Application Developer • 同合順企業有限公司
August 2021 - August 2023
Platform development with focus on creating robust, scalable backend systems and integrating cutting-edge AI technologies to improve app functionality and user experience. My contributions spanned several key areas:
Flutter & Java App Development: Built scalable, user-focused apps with Flutter and Java, emphasizing intuitive UI/UX designs. Employed advanced techniques for smooth, cross-platform functionality.
Python, Flask Backend & AI Models: Leveraged Flask in Python for backend services, integrating TensorFlow for AI-driven NLP models to optimize the KYC process, enhancing security and user verification processes.
Bloc for State Management: Implemented Bloc for sophisticated data management, ensuring fluid state management and reactivity within applications.
CI/CD & Automated Testing: Adopted Github's CI/CD pipelines and automated testing, maintaining high standards of code quality and accelerating development cycles.
Machine Learning Engineer • DOWN Dating & Social Apps
June 2021 - September 2021
Specialized in developing recommendation algorithms to match users based on preferences and back-end solutions to support a user base of over 8 million. My key responsibilities included:
Machine Learning & Recommendation Systems: Used Python with TensorFlow and Scikit-learn for advanced models and recommendations, boosting user engagement through tailored content.
Scalable Back-End Services: Developed scalable back-end solutions using Node.js and MongoDB, ensuring smooth user experiences as our base expanded.
Data Science & Analytics: Analyzed 400+ million data points with Pandas and Jupyter, applying predictive analytics to drive informed decisions.
Data Scientist • Supertype
September 2020 - March 2021
Participated in a half-work, half-study program, focusing on applying data science and engineering to solve real-world commercial challenges. My involvement centered around:
Python Data Analysis: Leveraged Pandas and NumPy for data manipulation, and visualized insights using Matplotlib and Seaborn.
Deployment with Docker: Utilized Docker for streamlined app deployment, enhancing consistency across environments.
Flask Web Development: Developed Flask-based web services, integrating RESTful APIs and managing databases with SQLAlchemy for efficient web solutions.
Education
Sept 2021 - July 2023
National Taiwan University 國立台灣大學, Graduate Institute of Computer Science
Master of Computer Science ( GPA: 4.06/4.3 )
Honors: Graduated with distinguished thesis publication
Sept 2018 - July 2021
National Taiwan University of Science and Technology 國立台灣科技大學
Information Management ( GPA: 4.14/4.3 )
Honors: Cumlaude, top of the class for 3 consecutive years and graduated early in 3 years
My Projects
"Speak It" mobile application | Fullstack, 2022
- Platform development: React-native & Javascript
- Deployment: Google Cloud Platform (GCP)
- Model: HuggingFace BERT LLM model
"So Clean" web application | Backend, 2021
- Frontend: Python Flask
- Backend: React.js & Javascript
- Database: Mongo DB
Skills
Machine Learning
- Computer vision deep learning
- LLMs (BERT & GPT)
- Big data processing & ETL
Software Develop
- Flutter mobile app
- Python & Javascript RESTful API
- CI/CD
Language
- Chinese
- English (IELTS 7.5)
- Indonesian