Miguel Leite
Team Lead - Behavioral Fraud at Adyen
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMiguel 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
7 years of employment as a software developer
Master's degree, Machine Learning & Data Science, Master's degree, Machine Learning & Data Science at Universidade do MinhoErasmus+, Computer Science, Erasmus+, Computer Science at University of GroningenFull Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at freeCodeCamp
Github Skills (22)
training-data10
snorkel9
data-augmentation9
labeling7
jekyll7
weak-supervision7
ai7
java-programming7
openml7
python7
machine-learning6
jupyterlab6
jupyter6
data-science6
api5
Programming languages (6)
Github contributions (5)
MLobo1997/dotfiles
Dec 2016 - Nov 2020
Contributions:61 pushes, 1 branch in 4 years
MLobo1997/DengAI
Apr 2019 - Jun 2021
Our solution for the DengAI challenge.
Contributions:16 pushes, 3 branches in 2 years 2 months
deep-learningmachine-learningdataminingai
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