Zhongshan, Guangdong Province, China
November 2019 - Present
. Worked with a team of 5-6 AI engineers, design and development E2E workflow for 15+ computer vision-related projects and rollout projects at multiple sites worldwide e.g., Mexico to improve products quality and reduce 50% of the AI project lifecycle.
. Build AI model with Transfer Learning and Neural Structured Learning with deep learning frameworks to achieve 99% model accuracy.
. Develop TensorFlow input pipelines by using SQLite and Structuring TFRecords for convert images into the TFRecord format, to use in deep learning algorithms.
. Create and design image datasets by mariadb and called by MySQL from backend, also automated metadata with a CronJob on Kubernetes.
. Set up Node-exporter and Prometheus to collect metrics of the Linux hosts and create dashboards in Grafana to visualize and monitor the metrics.
October 2018 - September 2019
. Responsible for web scraping and data extraction from HTML with Python package-Selenium and MS Access, and collaborated across departments and generated monthly business report through Power BI.
. Ensuring internal project teams and external business partners are aware of purchase requisition processes on ERP software and forecast deadlines and accountability.
May 2018 - September 2018
. Used NLP Natural Language Processing to improve the sentiment analysis.
. Enhanced strategic decision making through descriptive analytics t-test, ANOVA, p-value by SPSS analytical tool.
. Extracted subjective information for research purposes by using MySQL and Python.
August 2015 - December 2015
. Research Topic : Establishment the integrated long - term care model for cancer patients.
. prioritised multiple tasks with IRB project administration and periodically updated the clinical documentation and reports.
. Utilised SPSS data analytics tool to summerise quantitative and qualitative statistical data.
2020 - 2020
2019 - 2019
2016 - 2017
2011 - 2015
Zhongshan, Guangdong Province, China
November 2019 - Present
. Worked with a team of 5-6 AI engineers, design and development E2E workflow for 15+ computer vision-related projects and rollout projects at multiple sites worldwide e.g., Mexico to improve products quality and reduce 50% of the AI project lifecycle.
. Build AI model with Transfer Learning and Neural Structured Learning with deep learning frameworks to achieve 99% model accuracy.
. Develop TensorFlow input pipelines by using SQLite and Structuring TFRecords for convert images into the TFRecord format, to use in deep learning algorithms.
. Create and design image datasets by mariadb and called by MySQL from backend, also automated metadata with a CronJob on Kubernetes.
. Set up Node-exporter and Prometheus to collect metrics of the Linux hosts and create dashboards in Grafana to visualize and monitor the metrics.
October 2018 - September 2019
. Responsible for web scraping and data extraction from HTML with Python package-Selenium and MS Access, and collaborated across departments and generated monthly business report through Power BI.
. Ensuring internal project teams and external business partners are aware of purchase requisition processes on ERP software and forecast deadlines and accountability.
May 2018 - September 2018
. Used NLP Natural Language Processing to improve the sentiment analysis.
. Enhanced strategic decision making through descriptive analytics t-test, ANOVA, p-value by SPSS analytical tool.
. Extracted subjective information for research purposes by using MySQL and Python.
August 2015 - December 2015
. Research Topic : Establishment the integrated long - term care model for cancer patients.
. prioritised multiple tasks with IRB project administration and periodically updated the clinical documentation and reports.
. Utilised SPSS data analytics tool to summerise quantitative and qualitative statistical data.
2020 - 2020
2019 - 2019
2016 - 2017
2011 - 2015