Machine Learning Engineer building and deploying production PyTorch deep learning models at Predictiva, owning the ML lifecycle end to end: designing, training, and deploying multi-agent reinforcement learning models on a Ray/RLlib distributed stack. I integrate models into cloud services on AWS, and focus on monitoring, reliability, and continuous improvement in production.
I build scalable, tested Python data pipelines and APIs (FastAPI, Ray Serve) and apply MLOps best practices including Docker, CI/CD via GitHub Actions, and experiment tracking with MLflow/W&B. With an MSc (Distinction) in Artificial Intelligence and strong foundations in deep learning and applied statistics, I also bring C++ alongside Python for performance-sensitive work.
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