AI Engineer
Sandvik
Jul 2024 - Current (2 years 4 months)
Engineered and containerized GPU-accelerated LiDAR ML pipelines using Docker and Python, improving runtime efficiency and enhancing reproducibility by 40%.Refactored a complex monolithic codebase into modular, production-ready components, and built CLI-based debugging.Designed and deployed a distributed compute infrastructure across AWS and Azure, integrating FastAPI, PostgreSQL, and Dockerized ML services to enable scalable data ingestion, batch processing, and real-time inference across cloud compute nodes.Optimized a containerized ML backend using FastAPI and Docker, reducing image size by 30% and improving deployment speed.Worked extensively with AWS, Azure, Kubernetes, Linux, S3-like object storage, and cloud-based GPU instances.