Kevin Strathdee
About Kevin Strathdee
Kevin Strathdee is a Software Engineer at jambit GmbH in Munich, specializing in cross-platform mobile app development.
Current Position at jambit GmbH
Kevin Strathdee is currently serving as a Software Engineer at jambit GmbH, located in Munich, Bavaria, Germany. He has been part of the team since March 2021. In his role, Strathdee contributes to various software development projects, leveraging his expertise in mobile app development and other technologies.
Previous Experience at VisionHealth
Kevin Strathdee worked as a Software Engineer specializing in App Development at VisionHealth from 2019 to 2021 in Munich, Bavaria, Germany. During his tenure, he was engaged in several app development projects that helped improve user experiences and operational efficiencies.
Roles at The TJX Companies, Inc.
Kevin Strathdee has a background in solution development and internships at The TJX Companies, Inc. He served as a Solution Developer from 2018 to 2019 in Framingham, Massachusetts, and completed a three-month internship in 2017 in Marlborough, Massachusetts. His responsibilities included developing solutions and gaining practical industry experience.
Educational Background
Kevin Strathdee holds a Bachelor's degree in Economics from the University of Massachusetts Lowell. His education has provided him with a strong foundation for his career in software engineering and app development.
Specialization in Cross-Platform Mobile App Development
Kevin Strathdee specializes in cross-platform mobile app development. His technical skills include working with technologies such as Docker, REST-API, Python 3, TensorFlow 2, Keras, Spring Boot, Java, Bitbucket, Git, React, and Flutter. His multifaceted expertise enables him to build efficient and robust mobile applications.
Project Experience in E-Mobility Sector
Kevin Strathdee has participated in collaborative projects aimed at supporting the expansion of e-mobility. He contributed to the development of app features such as Augmented Reality to assist in Wallbox installations and a Digital PreCheck process to streamline the installation of electric vehicle charging stations. His work involved integrating Computer Vision and AI for enhanced image processing, aiming to reduce technician visits and improve user experience.