Kien Mai is a Machine Learning Engineer with 10 years of hands-on experience building data-driven applications and production ML pipelines, currently applying MLOps practices at FPT Software. He combines a strong academic background—a Master's in Data and High Performance Computing—with practical expertise in Python, cloud platforms (Azure/AWS/GCP), Airflow, Kafka and diverse databases to deliver scalable solutions. Past roles at TIKI and research positions at KISTI and UST exposed him to deep learning, graph neural networks, autoencoders and high-throughput systems like Spark and Kubernetes. Kien also mentors machine learning topics and has competed at a high level in coding challenges (Shopee Code League top 5), reflecting both teaching ability and competitive problem-solving. He’s comfortable moving models from research to production and enjoys automating ML workflows to directly impact business outcomes.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Information Technology, High Distinction, Bachelor's degree, Information Technology, High Distinction at University of Engineering and Technology, VNU
Master's degree, Data and High Performance Computing Science, Master's degree, Data and High Performance Computing Science at (UST) University of Science and Technology, Korea
Facies detection project. (Core classes was rewritten).
Contributions:122 pushes, 1 branch in 7 months
pythonrewrittenfaciesmachine-learningcore-project
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Kien Mai - Machine Learning Engineer at FPT Software