David Bautista is an AI & MLOps Engineer with a decade of experience transforming experimental models into production-grade, cloud-native ML systems. He specializes in end-to-end pipelines—data ingestion, feature engineering, distributed training with PySpark, and CI/CD deployments using Docker, Kubernetes, Airflow, and AWS services like EMR and Lambda. At Constella Intelligence he redesigned microservices and ETL workflows to cut infrastructure costs by 50% while speeding data processing up to 200%, demonstrating a strong product-oriented, cost-aware engineering mindset. Currently at Capgemini and concurrently pursuing a Master’s in Artificial Intelligence, he blends advanced deep learning and computer vision knowledge with practical MLOps rigor. Based in Granada, Spain, he brings full-stack roots and a knack for modernizing platforms with streaming (Kafka), observability, and event-driven architectures to ensure models are reliable and maintainable. Colleagues describe him as a pragmatic problem-solver who turns complex research into measurable business impact.
10 years of coding experience
5 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Universidad Internacional de La Rioja
Bachelor's degree Computer Sciences, Bachelor's degree Computer Sciences at Universidad de Granada
Contributions:1 PR, 26 pushes, 1 branch in 1 year 5 months
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