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Definition of Reputation Credits
Zac Liao
・Work Experience
National Yang Ming Chiao Tung University Digital Medical Center - iOS Developer
At the National Yang Ming Chiao Tung University Digital Medical Center, I played a vital role in integrating cutting-edge technologies into healthcare applications. The projects I developed extensively utilized Bluetooth Low Energy technology to connect and collect data from various medical devices. This role required not only a proficiency in Bluetooth communication but also an in-depth understanding of the Internet of Things (IoT) framework. To interpret and analyze the data, I employed and developed PPG and spectral analysis techniques, significantly enhancing the accuracy and utility of the data.
Regarding AI applications, machine learning models were integrated into mobile applications for edge computing, allowing medical decision-making to be more timely and personalized. Additionally, by leveraging Docker and Nginx, a stable and efficient server environment was established. Real-time communication between devices was achieved using Mqtt or Websockets. This process utilized a rich technological knowledge base and development experience to provide the best digital medical services.
Prime - iOS Developer
During my time at Prime, I participated in several projects involving real-time streaming media, which utilized professional streaming protocols such as RTSP and RTMP. These included real-time video streaming and VoIP applications, all of which required rigorous time management and resource allocation. Adobe XD played a crucial role, providing an efficient and intuitive interface design tool. Besides, mobile application development was not limited to the iOS platform but also ventured into the Android platform. During this period, I honed my skills in Git, Python, Node.js, Swift, and Objective-C, gaining a deeper understanding of cross-platform development.
・Future Expectations
Stepping into the field where technology and healthcare converge, I've experienced how advanced technologies like artificial intelligence, IoT, and real-time streaming media can transform human life, which I find deeply intriguing. I look forward to continuing to refine my skills in this cross-disciplinary journey, providing more assistance and convenience to those in need through technology.
In future work, I hope to further expand my technical scope, becoming more proficient in mobile device development, and deepening my understanding of backend development and machine learning. I believe that with the advancement of technology and the accumulation of knowledge, I will be able to bring substantial change and help to more people.
Taipei City, Taiwan
Project
Work Experience
iOS Engineer • National Yang Ming Chiao Tung University
June 2021 - Present
Bluetooth Low Energy Development
・ Developed Bluetooth Low Energy (BLE) capabilities to connect and collect data from various medical devices, realizing IoT device interconnectivity.
Physiological Information Signal Analysis
・ Utilized techniques such as PPG analysis and spectral analysis to perform in-depth analysis of collected physiological information, enhancing the accuracy and utility of the data.
Edge Computing and Machine Learning Applications
・ Integrated machine learning models into mobile applications, facilitating edge computing and enabling more immediate and personalized medical decision-making.
Server Environment Setup
・ Established a stable and efficient server environment through the use of Docker and Nginx.
Real-time Communication Implementation
・ Implemented real-time device communication using MQTT or Websockets.
Cross-platform Development
・ Possess experience in iOS platform development while also delving into web development.
Medical Image Analysis
・ Employed machine learning techniques for quick and accurate analysis of medical images, such as chest X-rays, eardrums, and ovarian tumors.
AI-assisted Psychological Analysis
・ Leveraged AI assistance for the analysis and evaluation of psychological data, enhancing the accuracy of interpretations and simplifying the diagnostic process.
Real-time User State Monitoring
・ Applied AI image analysis techniques to detect user fall incidents and send immediate notifications, ensuring user safety.
Research and Development Engineer • Prime Electronics
June 2020 - May 2021
VOIP Calls
・The Smart Home Center is a convenient system that connects mobile phones and office telephones, allowing all calls to be conducted over the Internet. Additionally, the company directory can be easily synchronized to the mobile app. This innovative technology brings convenience to communication, enabling users to stay connected anytime, anywhere. The Smart Home Center provides a smooth and efficient calling experience, making communication more convenient and seamless.
・Smart Home Alerts:
Through camera detection, the safety of users at home is monitored. If a fall or any other safety incident occurs, notifications are immediately sent to the user and previously set contacts on their mobile phones, and the time of the incident is recorded. Users can combine the VOIP calling app to dial automatically.
RTSP and RTMP Protocol Applications
・ Utilized professional streaming protocols like RTSP and RTMP for real-time video streaming and VoIP.
學歷
National Chung Cheng University
Master's Degree in Psychology
2013 - 2016
Zac Liao
・Work Experience
National Yang Ming Chiao Tung University Digital Medical Center - iOS Developer
At the National Yang Ming Chiao Tung University Digital Medical Center, I played a vital role in integrating cutting-edge technologies into healthcare applications. The projects I developed extensively utilized Bluetooth Low Energy technology to connect and collect data from various medical devices. This role required not only a proficiency in Bluetooth communication but also an in-depth understanding of the Internet of Things (IoT) framework. To interpret and analyze the data, I employed and developed PPG and spectral analysis techniques, significantly enhancing the accuracy and utility of the data.
Regarding AI applications, machine learning models were integrated into mobile applications for edge computing, allowing medical decision-making to be more timely and personalized. Additionally, by leveraging Docker and Nginx, a stable and efficient server environment was established. Real-time communication between devices was achieved using Mqtt or Websockets. This process utilized a rich technological knowledge base and development experience to provide the best digital medical services.
Prime - iOS Developer
During my time at Prime, I participated in several projects involving real-time streaming media, which utilized professional streaming protocols such as RTSP and RTMP. These included real-time video streaming and VoIP applications, all of which required rigorous time management and resource allocation. Adobe XD played a crucial role, providing an efficient and intuitive interface design tool. Besides, mobile application development was not limited to the iOS platform but also ventured into the Android platform. During this period, I honed my skills in Git, Python, Node.js, Swift, and Objective-C, gaining a deeper understanding of cross-platform development.
・Future Expectations
Stepping into the field where technology and healthcare converge, I've experienced how advanced technologies like artificial intelligence, IoT, and real-time streaming media can transform human life, which I find deeply intriguing. I look forward to continuing to refine my skills in this cross-disciplinary journey, providing more assistance and convenience to those in need through technology.
In future work, I hope to further expand my technical scope, becoming more proficient in mobile device development, and deepening my understanding of backend development and machine learning. I believe that with the advancement of technology and the accumulation of knowledge, I will be able to bring substantial change and help to more people.
Taipei City, Taiwan
Project
Work Experience
iOS Engineer • National Yang Ming Chiao Tung University
June 2021 - Present
Bluetooth Low Energy Development
・ Developed Bluetooth Low Energy (BLE) capabilities to connect and collect data from various medical devices, realizing IoT device interconnectivity.
Physiological Information Signal Analysis
・ Utilized techniques such as PPG analysis and spectral analysis to perform in-depth analysis of collected physiological information, enhancing the accuracy and utility of the data.
Edge Computing and Machine Learning Applications
・ Integrated machine learning models into mobile applications, facilitating edge computing and enabling more immediate and personalized medical decision-making.
Server Environment Setup
・ Established a stable and efficient server environment through the use of Docker and Nginx.
Real-time Communication Implementation
・ Implemented real-time device communication using MQTT or Websockets.
Cross-platform Development
・ Possess experience in iOS platform development while also delving into web development.
Medical Image Analysis
・ Employed machine learning techniques for quick and accurate analysis of medical images, such as chest X-rays, eardrums, and ovarian tumors.
AI-assisted Psychological Analysis
・ Leveraged AI assistance for the analysis and evaluation of psychological data, enhancing the accuracy of interpretations and simplifying the diagnostic process.
Real-time User State Monitoring
・ Applied AI image analysis techniques to detect user fall incidents and send immediate notifications, ensuring user safety.
Research and Development Engineer • Prime Electronics
June 2020 - May 2021
VOIP Calls
・The Smart Home Center is a convenient system that connects mobile phones and office telephones, allowing all calls to be conducted over the Internet. Additionally, the company directory can be easily synchronized to the mobile app. This innovative technology brings convenience to communication, enabling users to stay connected anytime, anywhere. The Smart Home Center provides a smooth and efficient calling experience, making communication more convenient and seamless.
・Smart Home Alerts:
Through camera detection, the safety of users at home is monitored. If a fall or any other safety incident occurs, notifications are immediately sent to the user and previously set contacts on their mobile phones, and the time of the incident is recorded. Users can combine the VOIP calling app to dial automatically.
RTSP and RTMP Protocol Applications
・ Utilized professional streaming protocols like RTSP and RTMP for real-time video streaming and VoIP.
學歷
National Chung Cheng University
Master's Degree in Psychology
2013 - 2016