Miguel Leite is a Machine Learning Scientist based in Amsterdam with 9 years of experience building high-throughput, low-latency ML systems for finance and betting platforms. He has shipped production fraud-detection pipelines and retraining workflows at scale (handling tens of millions of events/day with sub-250ms SLAs) and has deep experience with Spark, Airflow, Kafka and AWS data ingestion. His master's work and internships focused on active learning, producing methods that cut labeling needs by 30–50%, a practical signal of his ability to bridge research and production. Previously he helped operate highly available microservice architectures for major betting sites and wrote tooling to improve release and performance processes. Comfortable on-call and in cross-functional teams, he blends research-led thinking with pragmatic engineering to deliver reliable ML products.
9 years of coding experience
4 years of employment as a software developer
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at Free Code Camp
Erasmus+, Computer Science, Erasmus+, Computer Science at Rijksuniversiteit Groningen
Licenciatura em Engenharia Informática, Engenharia Informática, Licenciatura em Engenharia Informática, Engenharia Informática at Universidade do Minho
Contributions:16 pushes, 3 branches in 2 years 2 months
deep-learningmachine-learningdataminingai
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Miguel Leite - Machine Learning Scientist at Adyen