With 6 years of experience in software development, I specialize in Node.js (backend), Kubernetes, Terraform, Helm, and instance segmentation with Mask R-CNN for image recognition. My professional interests include developing data pipelines, designing microservice architectures, and building high-concurrency & high-availability systems.
I am currently engaged in implementing a computer vision recognition system and advancing my knowledge in Deep Learning, with the goal of creating technologies that can make a significant positive impact on the world. Dedicated to harnessing my skills for the greater good, I have undertaken side projects that address societal needs. Among these initiatives is a "sold house prices" web application to bring transparency to the real estate market in Taiwan, and a weather map application that delivers real-time weather forecast analysis. These endeavors reflect my commitment to improving information accessibility and enhancing quality of life through technology.
Calyx March 2022 - present
Process& GmbH August 2021 - January 2022
Acer March 2020 - July 2021
Intumit January 2019 - February 2020
National Taiwan University - Research Center of Climate Change and Sustainable Development February 2018 - June 2018
2015 - 2018
AWS
Data visualization of Taiwan house price, using open data of sold house price from Ministry of the Interior (MOI), I use Java to pre-process raw house trade data (csv format), and backend development, vanilla Javascript for front-end development.
By using the website, users can search house prices anywhere in Taiwan.
Data visualization of weather using open data (grid forecast data from numerical model ) from Central Weather Bureau (CWB), I'm using Python to plot weather map, using Node.js (Express.js) for backend and React.js for front-end development. Through this website, users can pick up latest weather map which is near Taiwan for the daily weather forecast.
A food information crawler service, using Node.js (Puppeteer.js and Nest.js) and nats-streaming message queue system to crawl food information from Instagram, Google Map, etc..., by these data, we could analysis food trend in Taiwan. We try to design this application to let users know about what is the most popular food in Taiwan now.
I optimized Open House Price application parsing performance with my friend by using data pipeline architecture, we design lots of components for data crawling, parsing and classifying. In addition, we refactored this application by using React.js, Nats-Streaming and Express.js.
With 6 years of experience in software development, I specialize in Node.js (backend), Kubernetes, Terraform, Helm, and instance segmentation with Mask R-CNN for image recognition. My professional interests include developing data pipelines, designing microservice architectures, and building high-concurrency & high-availability systems.
I am currently engaged in implementing a computer vision recognition system and advancing my knowledge in Deep Learning, with the goal of creating technologies that can make a significant positive impact on the world. Dedicated to harnessing my skills for the greater good, I have undertaken side projects that address societal needs. Among these initiatives is a "sold house prices" web application to bring transparency to the real estate market in Taiwan, and a weather map application that delivers real-time weather forecast analysis. These endeavors reflect my commitment to improving information accessibility and enhancing quality of life through technology.
Calyx March 2022 - present
Process& GmbH August 2021 - January 2022
Acer March 2020 - July 2021
Intumit January 2019 - February 2020
National Taiwan University - Research Center of Climate Change and Sustainable Development February 2018 - June 2018
2015 - 2018
AWS
Data visualization of Taiwan house price, using open data of sold house price from Ministry of the Interior (MOI), I use Java to pre-process raw house trade data (csv format), and backend development, vanilla Javascript for front-end development.
By using the website, users can search house prices anywhere in Taiwan.
Data visualization of weather using open data (grid forecast data from numerical model ) from Central Weather Bureau (CWB), I'm using Python to plot weather map, using Node.js (Express.js) for backend and React.js for front-end development. Through this website, users can pick up latest weather map which is near Taiwan for the daily weather forecast.
A food information crawler service, using Node.js (Puppeteer.js and Nest.js) and nats-streaming message queue system to crawl food information from Instagram, Google Map, etc..., by these data, we could analysis food trend in Taiwan. We try to design this application to let users know about what is the most popular food in Taiwan now.
I optimized Open House Price application parsing performance with my friend by using data pipeline architecture, we design lots of components for data crawling, parsing and classifying. In addition, we refactored this application by using React.js, Nats-Streaming and Express.js.