João Neves
About João Neves
João Neves is an Advanced Software Engineer with extensive experience in cloud engineering and machine learning. He has worked for notable companies such as Siemens, FARFETCH, and Feedzai, and holds a Master's degree in Mathematical Statistics and Probability from Instituto Superior Técnico.
Work at Feedzai
João Neves has been employed at Feedzai as an Advanced Software Engineer since 2024. In this role, he contributes to the development of advanced software solutions, focusing on enhancing the company's capabilities in fraud prevention and risk management. His experience in software engineering and machine learning supports Feedzai's mission to leverage data science for financial security.
Previous Experience at Siemens
João Neves worked at Siemens in various capacities from 2018 to 2022. He began as a Cloud Engineer from 2018 to 2021, where he focused on cloud-based solutions in the Lisbon Area. He then transitioned to the role of Technical Lead Engineer from 2021 to 2022, overseeing engineering projects and leading teams to implement technical strategies.
Experience at FARFETCH
From 2022 to 2024, João Neves served as a Senior Machine Learning Engineer at FARFETCH. In this position, he applied his expertise in machine learning to develop algorithms and models that enhance the company's e-commerce platform. His work contributed to improving customer experiences and optimizing operational efficiencies.
Educational Background
João Neves studied at Instituto Superior Técnico, where he earned a Master's degree in Mathematical Statistics and Probability from 2011 to 2013. Prior to this, he completed a Licentiate degree in Computational and Applied Mathematics at the same institution from 2007 to 2011. His educational background provides a strong foundation for his work in software engineering and data analysis.
Early Career at SISCOG and Marionete
João Neves began his career as a Software Engineer at SISCOG from 2013 to 2016, where he developed software solutions for operational management. He then worked as a Data Engineer at Marionete from 2016 to 2018, focusing on data processing and analysis to support business intelligence initiatives.