Nicholas White

I’m a Senior Machine Learning Engineer with 7+ years of experience developing and deploying scalable ML systems in production. I focus on automating ML workflows, optimizing development-to-deployment pipelines, and improving reliability once models are live.

At CrowdStrike, I developed and maintained internal automation tools for ML workflow orchestration in Python, managed CI/CD pipelines for ML model testing and deployment, and containerized ML applications with Docker. I deploy and monitor models in Kubernetes clusters, troubleshoot inference latency issues, and apply cloud security best practices to protect data and model assets.

Previously at Aleph Alpha and Bitdefender, I engineered low-latency model deployment frameworks, automated data validation and feature engineering, and built monitoring solutions to track model drift and performance degradation. I also developed modular Python code for inference services, orchestrated training pipelines with Kubernetes, and supported ETL pipelines feeding into BigQuery.

I bring a full-lifecycle mindset—from experimentation to deployment and ongoing maintenance—backed by strong engineering discipline. I write comprehensive unit and integration tests, collaborate closely with data scientists and DevOps to establish secure deployment patterns, and communicate insights through dashboards for stakeholders.