Alexandre Clement is a Data Scientist and engineer with 15 years of experience building scalable, distributed systems and machine learning platforms across insurance and telecom industries. He co-founded an insurtech, leading development of a real-time predictive analytics platform on Apache Spark and cloud infrastructures, and later built distributed anti-fraud and claims-cost optimization systems at AXA using Spark, GraphX, Kafka and Docker. Comfortable across Java, Scala and Python, he combines deep backend and Big Data expertise (Hadoop-certified) with hands-on work in asynchronous architectures, ESBs and NoSQL datastores. Alexandre’s background spans end-to-end delivery from architecture and dev-ops to production ML, and he has repeatedly translated complex domain rules into performant, distributed pipelines. Based in Greater Paris, he brings both startup grit and enterprise rigor, often bridging R&D proofs-of-concept with operationalized systems. A less obvious strength is his long history of integrating search, datagrid and messaging technologies, reflecting a pragmatic talent for solving hard integration challenges.
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Contributions:57 pushes in 7 months
pytorchanomalysuperviseddeep-learningsemi
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