Emil Larsson

Experienced professional with expertise in full-stack innovation and exploration, emphasizing cloud engineering, frontend, and backend development. Recognized as a go-to resource for cross-functional collaboration, specializing in delivering rapid prototypes for diverse projects. Proficient in general frontend and backend development, ensuring high-quality project setups, and designing scalable cloud solutions. Proven track record of successfully collaborating with teams from various domains and implementing in-house event-driven analytics solutions to replace third-party tools like Google Analytics.

Proficiently managed the concurrent development of two projects. One project focused on crafting an office space staff capacity allocation planning tool, streamlining office space management. The second project entailed developing an internal system for effortless office equipment ordering within the organization. Key responsibilities included frontend and backend API development and the implementation of an event-driven data sanitization pipeline to ensure GDPR compliance.

GESHDO specializes in dynamic IT consulting, driven by a commitment to tailored solutions. We prioritize rapid delivery to align with your goals while managing costs effectively. Our expertise spans all the major cloud platforms like AWS, Azure, and Google Cloud. Back-end development, with diverse languages and frameworks, equips us to solve complex challenges. Our front-end consultants blend design finesse with technical precision to create seamless, visually appealing interfaces. GESHDO pushes boundaries to provide optimal, adaptable solutions for your organization.

Worked closely together with the product owner to develop a mobile application using React Native alongside AWS for backend- and cloud-related areas. As the only developer on the project at the time, I was also responsible for planning, prioritizing and deciding on everything related to the technical stack.

Development of various interactive web applications aimed at displaying and analyzing big amounts of data. With the amount of data, main focus was on frontend optimization to provide our users the best possible experience. Additionally, I built a custom solution for web scraping, utilizing Puppeteer, to gather data from an in-house tool that were then used by another team to optimize their ML model.