Michele Vantini is a Senior Data Scientist based in Helsinki with 9 years of experience designing and shipping end-to-end machine learning systems that span data ingestion, pipelines, cloud infrastructure and model serving. He has applied ML across time-series forecasting, computer vision (including Mask R-CNN and crowd counting) and recommender systems, and has hands-on experience operationalizing reinforcement-learning based personalization at scale. His background blends academic research in Gaussian processes for gene expression with practical roles building SaaS data platforms and online training/serving architectures for retail, social and banking clients. Michele is comfortable across the full stack—from Spark/Kafka streaming and feature engineering to PyTorch model development and scalable API serving—and often architects cloud-native solutions. He joined Nosto after senior ML engineering and consultancy roles, bringing a pragmatic focus on delivering customer value through production-ready ML. Colleagues describe him as a continuous learner who prefers solving novel problems that bridge research ideas and robust engineering.
9 years of coding experience
7 years of employment as a software developer
Master's Programme in Computer Communication and Information Sciences Machine Learning and Data Mining, Master's Programme in Computer Communication and Information Sciences Machine Learning and Data Mining at Aalto University
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Università di Trento
Contributions:8 PRs, 48 pushes, 4 branches in 2 months
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