Explainable AI/ML Engineer

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Description

Word2Vec BigQuery Random Forest Git CAML Typescript React Weka Maven Scala Scikit-Learn Postgres Flink Spring Hive Three.js RuleFit LSH Linux Elm Java t-SNE PCA Databricks AWS d3.js Spark Javascript MySQL Oracle Python Primefaces SHAP

Machine learning engineer, specialized in Explainable AI / ML. 13 years professional coding experience, 24 years personal.Recent Highlights: Seamless integration of hand-crafted rules with ML-build rulesIntuitive, visual data/signal explorer: http://explicable.ai Implementation in Spark/Scala of treeinterpreter, currently used in production* Participation to the FICO-Google Explainable Machine Learning Challenge