Open to opportunities

Sriengchhun Chheang

@sriengchhunchheang

Message

Hands-on AI/ML engineer delivering production-ready MLOps solutions.

Thailand

Message

What I'm looking for

I seek roles where I can own end-to-end ML systems, focusing on production MLOps, reliable deployments, and impactful applied AI in collaborative teams.

I am a hands-on AI/ML engineer and data professional with a strong backend foundation and proven experience owning the ML lifecycle end-to-end, from data engineering through deployment and monitoring.

I have built production microservices and pipelines using FastAPI, ZenML, BentoML and Docker, and deployed scikit-learn and deep-learning models into containerized, versioned services integrated across platforms.

My projects include a real-time infectious-disease severity prediction system for healthcare resource optimization and a motorsport computer-vision analytics pipeline combining YOLOv8, DeepSORT, and EasyOCR to produce annotated video and telemetry overlays.

I hold a Master of Data Science with a machine-learning specialization and a Bachelor in Embedded Systems Engineering, and I focus on reliable MLOps, reproducible pipelines, and pragmatic backend integration to drive real-world impact.

Experience

Work history, roles, and key accomplishments

Current

Data Science Engineer

Current

Zanegrowth Co.,LTD

Jul 2021 - Present (4 years 2 months)

Built and deployed production-grade ML microservices (BentoML, Docker, FastAPI) for real-time infectious-disease severity prediction and motorsport computer-vision analytics, standardizing preprocessing, training, versioned releases, and retraining pipelines.

fastAPI BentoML ZenML Docker scikit learn PyTorch SQL Server YOLOv8

Education

Degrees, certifications, and relevant coursework

Burapha University

Master of Data Science, Data Science

2021 -

Pursuing a Master of Data Science with a specialization in Machine Learning in the Faculty of Informatics.

Burapha University

Bachelor of Embedded Systems Engineering, Embedded Systems Engineering

2017 - 2021

Grade: 3.71/4.0 (First Class Honors)

Completed a Bachelor of Embedded Systems Engineering with a focus on hardware and FPGA and a thesis on FPGA-based bioinformatics acceleration using HLS.