I am a Frontend Software Engineer, who taught himself into the world of web development. I am based in Espoo, close to the Helsinki area
In my free time I like to spend some quality time with friends, enjoy a relaxing walk in the beautiful finnish forests or go playing a football match.
As a frontend software engineer my core strength lies in developing user interfaces, but I have knowledge on how to operate on the full stack of web applications. I am passionate about the subject and a fast learner, approaching every challenge with an open mindset, while keeping my strong logical thinking, which helps me to approach any challenge with realistic and pragmatic solutions. I am self-motivated and capable of working in a fast-paced, agile and multidisciplinary environment.
Currently working at KONE as Frontend Developer in the R&D team.
The project I am taking care of is a web UI that displays real-time data in a digital-twin of a building.
I helped bringing the project from its POC phase to the first release given to the customer.
The technologies I am working with are: React.js implemented with Typescript implementing the THREE.js library for displaying and animating objects in a 3D environment, AWS cloud services for hosting, CI/CD, authentication, GitLab for CI/CD pipelines and GraphQL and websocket for APIs handling.
I helped developing existing and indipendent applications.
Two major projects I worked on were a form application and a portal application to show and sort data form control center.
The technologies I worked with were: React.js implemented with both Typescript and Javascript, Zod and Yup for form validation, react-query for APIs handling, Chakra-UI for components ad styling, GitLab for CI/CD, Next.js as UI framework and a SpingBoot framework in Java for backend adjustment.
Developed simple post blog website with energy consumption reduction mindset, for a challenge sponsored by CGI at Junction 2022. Our team was composed by three people in total.
Implemented a clean and efficient UI using JavaScript and React.js to cut energy consumption to minimum.
Worked on profiling energy usage from CPU components to maximize energy efficiency.
The project placed second out of the 20+ teams that worked on the challenge.
Developed a predictive computational model to study Kilonovae emissions. The simulations have been coded in Python. Performed results validation using data analysis methods such asregression processes, chi squared tests and autocorrelation computations.
120 ECTS in “Theory of Fundamental Interactions and Cosmology”
180 ECTS in the areas of quantum mechanic, statistical physics, computational and mathematical methods
Feel free to reach out dropping a message in my email, linkedin account or on my phone