Position: Data Engineer / MLops
Category: Data Engineer
English level: fluent
Years of experience: 7

- has built custom MLops tool for automatic deployment, scale and monitoring gathering for TOP 3 Singapore bank in 6 month; 
- led a team of 4 middle data engineers; 
- successfully built Data Operations pipeline and/or infrastructure for over 10+ clients capable of handling TBs of data flow, preprocessing and storage;
Seasoned Python developer with 7 years of experience in extracting, manipulating, and storing large data streams using cutting-edge tools such as Spark, Airflow, and Kubernetes, alongside Pandas, Numpy, and TensorFlow. With a strong background in linear algebra, statistical and probability theory, has contributed to open-source KNIME workflows and is an active Kaggle contributor. As a certified Alteryx (SaaS) developer, possesses practical expertise in statistical techniques such as linear/logistic regressions, multivariate regressions, random forests, XGBoost, LSTM, and ARIMA. Has implemented MLops best practices for enterprises, including automated model deployment, model versioning, data drift, and performance monitoring. Has extensive experience in building ETL pipelines and has participated in public MLops events.
Can consider any type of products/services and become in alignment with team.