Nikos Tsaousis
Chief Technology Officer at Paralos Shipping PTE. LTD.
Greece
Summary
🤩
Rockstar🎓
Top SchoolNikos Tsaousis is a Chief Technology Officer and machine learning engineer with a decade of experience building cloud-native, production-grade ML platforms and leading large multidisciplinary teams. He blends hands-on software and DevOps craftsmanship—advocating clean code, testing and automation—with architecture skills for scalable data science pipelines across AWS/Azure, Kubernetes and ML tooling. Formerly Head of Machine Learning Engineering at QuantumBlack and a senior leader at McKinsey, he has grown and hired engineering organizations, led 30+ person product teams, and shepherded internal ML products from prototype to wide adoption. An active open-source contributor and the driving force behind kedro-related work, he brings both academic rigor from a Cambridge PhD in machine intelligence and product-minded pragmatism, exemplified by an indie Android app that reached 55k downloads.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Medical Imaging Engineering Department Machine Intelligence Laboratory, Doctor of Philosophy (Ph.D.) Medical Imaging Engineering Department Machine Intelligence Laboratory at University of CambridgeHellenic American Educational Foundation Athens College - Psychico College
Greek, English, French
Github Skills (8)
python10
documentation10
caching9
api8
pipeline8
apidoc8
git7
mlops7
Programming languages (5)
Github contributions (5)
kedro-org/kedro
May 2019 - Oct 2019
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:1 review, 15 commits, 5 PRs in 5 months
Contributions summary:Nikos contributed to the codebase by addressing issues related to logging, propagating arguments within the codebase, and adding documentation elements. The user also added a badge to enhance the documentation's appearance. Furthermore, the user made changes that improved the API documentation. The user addressed the issue related to CachedDataSet, a dataset wrapper which caches in memory the data saved, so that the user avoids io operations with slow storage media.
experiment-trackingpythonsciencepipelinedata-science
tsanikgr/whist
Nov 2015 - Dec 2016
Contributions:33 commits, 30 pushes, 1 branch in 1 year
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