Frederic ZINGG

Data Engineer & API Integrations at Mindset AI

Frederic Zingg has a diverse and extensive work experience spanning multiple industries and roles. Frederic is currently working as a Data Engineer at Mindset AI, starting in December 2022. Prior to this, they worked as a Blockchain & crypto-economy Developer, where they gained experience in blockchain, crypto-economy, and web3 architectures, as well as coding smart-contracts in Solidity and RUST.

From 2018 to 2021, Frederic served as a CTO, Full Stack Developer, Ruby backend dev, and Data model designer at oneplanet.com, leading a remote team of developers and implementing a global platform for managing sustainable plans. Before that, they worked as a self-employed Full-stack Developer, where they gained valuable experience.

Their earlier career includes roles as CEO and Full-stack Developer at Pixagency, Full-stack Developer at Insourcia, French Teacher at Xiaogan University, and Software Engineer at Unibail-Rodamco-Westfield, Blueline, and BNP Paribas.

Overall, Frederic Zingg has a strong technical background and expertise in various areas including blockchain, full-stack development, data engineering, and project management.

Frederic ZINGG completed their education from 1993 to 1995 at the Université Paris-Saclay, where they earned a DEUG in Mathematics and Physics. Later, they attended ENSIIE - École Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise from 1995 to 1998, where they obtained an Engineer's degree in Computer Science.

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Mindset AI

Mindset AI is a technology company using AI and automation to help human-capital businesses scale. It provides learners and users with a branded, fully configurable, and simple-to-use platform for your workshops, micro-learning, online content, surveys, psychometric tests, 360s, communities, client reporting, engagement tracking, and otheractivities. End users can access a truly connected customer experience via mobile, web, tablets, and even wearables via a single platform. The company allows users to log in on a daily basis and observe their patterns and reflections in order to encourage positive behavioral change and inform business decisions.


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11-50

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