Building a Private MLOps Platform on AWS
·3 mins
How I deployed MLflow as a authenticated experiment tracking server on AWS and integrated it into a reusable ML toolkit.
Aws
CI/CD for a Genomic Data Pipeline: Testing, Security, and Multi-Environment Deployment
How I built a CI/CD system for a Nextflow methylation sequencing pipeline: from pre-commit linting through four layers of testing to automated promotion across development, staging, and production, all backed by reusable GitHub Actions and container image promotion via ECR.
Scaling ML Training for Epigenetic Age Prediction
How parallelising hyperparameter tuning on SageMaker turned a single-instance grid search into a 100x faster training workflow.
Building a Self-Service Analysis Environment for Data Scientists
·5 mins
Designing and building a Python CLI that lets data scientists create, manage, and safely shut down cloud research environments without needing to know Terraform or the AWS console.