Javier Sánchez
About Javier Sánchez
Javier Sánchez is a Founding Engineer at Stack AI, specializing in UI design and AI application deployment. He has a background in software engineering with experience at various companies, including Canonical and UPM Racing.
Work at Stack AI
Javier Sánchez currently serves as a Founding Engineer at Stack AI, a position he has held since 2023. His role involves leveraging his expertise in deploying AI applications efficiently. He works remotely from Madrid, Community of Madrid, Spain, contributing to the company's mission to innovate in the AI space.
Previous Experience in Engineering
Prior to his role at Stack AI, Javier Sánchez worked at Canonical as a Software Engineer from 2021 to 2023 in Dublin, Ireland. He also held positions at UPM Racing as a Software Engineer, focusing on self-driving technology from 2020 to 2021, and at Ericsson for a brief period in 2020. His experience includes working as a Racing Drones Engineer at Universidad Politécnica de Madrid from 2018 to 2019.
Education and Expertise
Javier Sánchez holds a Bachelor's degree in Telecommunications Engineering from Universidad Politécnica de Madrid, where he studied from 2016 to 2021. He has obtained an AWS Certified Solutions Architect - Associate certification. His technical expertise includes UI design using tools like Sketch and Figma, as well as proficiency in technologies such as Docker, Kubernetes, and Terraform.
Achievements in Innovation
During his tenure at KPMG España, Javier Sánchez was recognized as a National Winner and World Finalist for his role as a co-creator of Optihealth, an initiative that highlights his capability in innovative project development. This experience reflects his commitment to advancing technology solutions in various sectors.
Cloud and AI Application Deployment
Javier Sánchez specializes in deploying AI applications quickly and reliably. He has experience using public cloud platforms, including AWS, Google Cloud Engine (GCE), and Azure, which enhances his ability to implement scalable solutions in diverse environments.