Valentin Zambelli

Valentin Zambelli

Senior Software Engineer @ Immutable X

About Valentin Zambelli

Valentin Zambelli is a Senior Software Engineer currently working at Immutable in Melbourne, Australia. He has a diverse background in software engineering and data science, with previous roles at Amazon, Dixa, and other companies across Europe and Australia.

Work at Immutable X

Valentin Zambelli has been employed as a Senior Software Engineer at Immutable since 2022. His role involves developing and maintaining software solutions within the organization. Immutable X focuses on providing a layer-2 scaling solution for Ethereum, enabling fast and secure transactions for NFTs and gaming applications.

Previous Experience at Amazon

Before joining Immutable, Valentin Zambelli worked at Amazon as a Research Scientist from 2018 to 2019 in the Berlin Area, Germany. His tenure at Amazon involved conducting research and developing algorithms to enhance the company's technological capabilities.

Education and Expertise

Valentin Zambelli holds a Master’s Degree in Information Systems from Humboldt-Universität zu Berlin, where he studied from 2015 to 2018. He also completed a Bachelor of Science in Business and Economics at WU (Vienna University of Economics and Business) from 2010 to 2013. His expertise includes Bayesian Inference, machine learning, and data visualization.

Career Path and Roles

Throughout his career, Valentin has held various positions in software engineering and data science. He worked at Dixa as a Senior Software Engineer from 2021 to 2022 and at Elevio by Dixa from 2019 to 2021. His earlier roles include positions at DOJO Madness as a Machine Learning Engineer and Hypoport AG as a Data Engineer.

Projects and Contributions

Valentin Zambelli has contributed to several projects, including creating a churn prediction model for mobile phone customers using xgboost. He has developed a text classification project utilizing recurrent and convolutional neural networks and implemented Latent Dirichlet Allocation for analyzing fake news articles.

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