Vaardigheden
Topvaardigheden
Extra vaardigheden (5)
Vincent in het kort
- Building production-ready data pipelines in the machine learning field;
- Let data scientists focus on data exploration, feature engineering and modeling;
- Advocating end-to-end ownership and a product mindset;
- Focus on cloud and serverless services.
Websites
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- Github: - Medium: - StackOverflow: - Linkedin:
Werkervaring
- KBCML (Ops) EngineerBANKEN & VERZEKERINGENseptember 2021 - Vandaag (3 jaren en 3 maanden)Leuven, VB, BelgiëSetup and maintain the tools data scientists use.Deploy Models for batch as for real-time inference.Challenge and evolve the MLOps architecture.Technology toolbelt: Python, AWS Serverless services, AWS Sagemaker, AWS EKS, Jupyter, MLFlow, Terraform, Concourse (CICD).
- AXAData / ML EngineerBANKEN & VERZEKERINGENmaart 2018 - september 2021 (3 jaren en 7 maanden)Brussel, VB, BelgiëBuild production ready ML pipelines in the field of Natural Language Processing (NLP);Develop and implement ML Ops best practices;Build applications that serve machine learning models;Focus on serverless cloud services;Technology toolbelt: Python, Pyspark, Git/Github, Serverless framework, AWS CDKAWS experience: Glue, Sagemaker, Stepfunctions, Codebuild, Lambda, API Gateway, S3, Athena, Cloudwatch, SNS, SQS, Kinesis Firehose.
Externe aanbevelingen
Opleidingen
- AWS Certified Machine Learning – SpecialtyAWS2021https://www.credly.com/badges/e7ac83b4-1383-4ed4-987a-6e35071e32e1?source=linked_in_profile
- AWS Certified Developer – AssociateAWS2020https://www.credly.com/badges/94d105e1-2108-4e6c-b85b-6e53488a4c4f?source=linked_in_profile
Diploma's
- Business EngineeringKUL2011