ID:MC-00AIAD

Data Scientist / ML Engineer

I am a Data Scientist with experience building and deploying production-grade machine learning solutions in manufacturing and security-critical environments. I work end to end, from problem definition and solution design in close collaboration with stakeholders to data collection, scalable data engineering using platforms such as Databricks, modeling, validation and performance tracking with tools such as MLflow, and finally deployment and stable operation in production. My background in defence and critical infrastructure has shaped a strong focus on quality, robustness, and security. I design and implement solutions with attention to code quality, reproducibility, monitoring, and long-term maintainability, ensuring systems remain reliable not only at launch but over time.

I am comfortable working across teams of engineers, domain specialists, and decision-makers, and I maintain a clear overview of both the technical and organizational aspects of a project. I take ownership of the full machine learning value chain, including data pipeline design, workflow orchestration, model lifecycle management, and production deployment, ensuring that solutions integrate seamlessly into real-world operations.