Develop data and machine learning pipelines to build data-driven applications.Automate machine learning development process in the MLOps fashion.Utilize cloud services (Azure, AWS) to build applications.

I work as a teaching assistant giving practice lessons about Machine Learning.Topic cover: Statistical inference, Decision tree and Random forest, Association rule, Time series, ANN.

Build data pipelines processing data from/to multiple data sources using Airflow.Develop backend processing jobs and APIs for suggesting products, keywords to seller, sale teams using Java Vertx, Apache Kafka, Google Bigquery, Rocksdb, Mysql.Monitor computing workloads’ metrics using Grafana.Since joining Tiki, I had chances to work with other technology, such as Clickhouse, Elasticsearch, MongoDB, Metabase, Kubernetes, Google Cloud Platform.

Since the time I entered KISTI, I have learnt Deep Learning. Besides, I studied about Database, Data mining, and Machine Learning engineering.- Write and public scientific papers in several conferences and journal. Topics: autoencoders, activation, graph neural networks.- Hand on technology systems, such as Kubernetes and Spark.- Participate in Shopee Code League 2020, 2021 (top 5).

In the laboratory, I studied about Big Data and Machine Learning. I was also involved in Well Insight project which is a cloud based software for interpreting well data. My missions were:- Developing a Self Organizing Map python package for facies classification in geological data, which then became my bachelor thesis.- Developing a tool for analyzing and visualizing Gamma Ray curve in geological data.- Deploying machine learning tools as web services using Open API Specification and Open API Generator.- Developing Front-end web application using AngularJS.

I was involved in sale forecasting problem with these tasks:- Applying LSTM neural network (long-short term memory) to forecast the sale of products of a retailer company.- Importing data into ElasticSearch and visualizing on Kibana.

Our vision is to bridge between students and company recruiters. My responsibility was:- Managing activities and projects of the club.- Co-operating with university and companies.- Guiding young members.

Learning to use Amazon Web Services (AWS) with Java driver.Using AWS in building an attendance record application on Android Smartphone.Learning to develop a website for introducing services using Laravel framework.