Emir Matik

Experience

• 

  IEEE Istanbul University Student Branch

  Nov 2020 - Mar 2021

  Active Member - Graphic Designer
• 

  Piktus Creative

  Jan 2021 - Jun 2021

  Frontend Developer

  Played a key role in the development team and was responsible for most of the frontend part of all the web applications, animations, banners, and so on that we built for the companies, including large brands from all over the world such as Brawl Stars, Trendyol, and Aptamil. Witnessed all the creation phases of many websites from zero to deployment. Had a close relation with designers and built websites by referencing given designs from Figma, Adobe XD and Photoshop. Led the entire building process of some projects and completed them ahead of their estimated time.➜ Used web technologies around HTML, CSS, and Javascript➜ Used Webflow to build the official website of Layer. Used Lottie animations, Scroll animations, and some custom Javascript animations Show less

• 

  Utelly

  May 2021 - Jul 2022

  ➜ Was responsible for detecting possible improvements, maintaining the product, fixing bugs, communicating with other teams, making deployments in a regular cycle, and adding new features.➜ Decreased the loading time of showing the first content on the screen from 2.5s to 0.5s.➜ Increased the overall networking performance of some pages by around 200% by detecting and removing unnecessarily chained requests and memorizing the frequently used data.

  • Software Engineer

    Dec 2021 - Jul 2022

  • Software Engineer Intern

    May 2021 - Dec 2021
• 

  Synamedia

  Jul 2022 - Sept 2024

  • Software Engineer

    Feb 2024 - Sept 2024

  • Software Engineer

    Jul 2022 - Feb 2024
• 

  IEEE Istanbul University Student Branch

  Nov 2022 - Jan 2023

  Mobile Team Lead
• 

  Manuport Logistics (MPL)

  Jul 2023 - Aug 2023

  Intern
• 

  Turkcell

  Sept 2023 - Sept 2023

  Software Engineer Intern
• 

  Fit Collective

  Sept 2024 - now

  Full Stack Engineer

  At Fit Collective, we prevent poor fit at the source, before an item is even made. Our unique insight into the fashion supply chain enables us to use machine learning and generative AI to simulate, predict, and ultimately prevent bad fits from being created. Changing fit from human subjectivity to data-backed science, we increase conversion, create loyal customers, reduce returns, and lower waste.