Patrick Nanys is a Machine Learning Engineer with nine years of experience building and shipping production-scale AI systems, currently based in Budapest. He has deep hands-on experience designing NLP microservice pipelines and infrastructure that process billions of documents daily, and has worked across the ML stack from model development (Python, TensorFlow) to platform engineering (Kubernetes, Terraform, Spark, AWS). Patrick blends consultancy and implementation at SnapSoft, guiding business decisions on AI while delivering end-to-end custom ML products. His background includes inventing ML-driven autoscaling and terabyte-scale data comparison tools, reflecting a pragmatic focus on efficiency and operational reliability. He studied data science at the master’s level and pairs academic curiosity—active in a research-oriented student college—with a bias for action and ownership in production environments.
9 years of coding experience
4 years of employment as a software developer
Master's degree DataScience, Master's degree DataScience at Università di Trento
Bachelor of Science Computer Science Engineer, Bachelor of Science Computer Science Engineer at Budapest University of Technology and Economics
Master's degree DataScience, Master's degree DataScience at Eötvös Loránd University
Knowledge Graph Engineering project work about Sports Facilities and Transportation in the Trentino area
Contributions:2 PRs, 46 pushes, 3 branches in 26 days
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Patrick Nanys - Machine Learning Engineer at SnapSoft