Tam is a Machine Learning Engineer with strong DevOps skills and over 6 years of experience building and deploying data-driven systems. He has worked on real-time inference pipelines, MLOps workflows, model deployment automation, and scalable cloud-based training environments. Tam combines ML engineering with infrastructure knowledge to ensure models are reliable, efficient, and production-ready.
He has experience with containerization, CI/CD pipelines, monitoring tools, and GPU optimization. Curious and efficient, Tam enjoys making machine learning systems work smoothly in real environments.
Skills
- AWS Services
- Docker
- Python
- TensorFlow
- Kubernetes
- MLFlow
- PyTorch
Experience
- 2022 - 2025
ML Infrastructure Engineer à Spell.ml
Tam worked on building model training workflows and deployment tools for ML teams. He helped develop and maintain GPU-accelerated pipelines, automated container builds for model training, and handled integrations with cloud storage and experiment tracking tools. He also set up alerting and autoscaling features for active model deployments.
- Python
- Docker
- Kubernetes
- MLflow
- AWS
- TensorFlow
- 2020 - 2022
Machine Learning Engineer à Weights & Biases
Tam worked with internal and client teams to build reproducible training pipelines, manage model versioning, and track experiment performance. He built integrations for data pre-processing stages and model evaluation dashboards. He also improved automation around CI/CD for retraining workflows.
- Python
- PyTorch
- W&B SDK
- GitHub Actions
- PostgreSQL
- 2018 - 2020
ML DevOps Engineer à Valohai
At Valohai, Tam helped design deployment templates for ML projects, working with containerized models and inference services. He implemented data versioning strategies, built CLI tools for ML engineers, and maintained monitoring pipelines for production endpoints.
- Python
- Docker
- Kubeflow
- Scikit-learn
- Azure
- 2017 - 2018
Junior ML Engineer à FloydHub
Tam supported early-stage research-to-deployment workflows. He helped set up cloud-based training environments, managed experiment configs, and created basic scripts for model evaluation and hyperparameter testing.
- Python
- Jupyter
- TensorBoard
- S3
Education
- 2017
Bachelor of Science in Data Science & Engineering à Ho Chi Minh City University of Technology (HCMUT)
