. Worked with a team of 5-6 engineers, design and development E2E workflow for 15+ computer vision-related projects and reduce 50% of the AI project lifecycle. . Build AI model by transfer learning and fine-tuning and training deep neural networks by Neural Structured Learning with deep learning frameworks. . 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.

. Responsible for web scraping and data extraction from HTML with Python package 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.

. 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.

. 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.