I am Ioannis Michadasis, a Computer Science student and software developer with a strong focus on full stack development, cross-platform applications, and practical problem solving. I enjoy building tools that remove friction for users and improve everyday workflows.
My experience includes volunteer software development work for open source and student organizations, where I contributed to university-facing platforms and helped automate repetitive tasks. I have worked on projects that improved access to software, enhanced portal usability, and reduced manual effort for students.
I have built several full stack and desktop/mobile applications using technologies such as Next.js, React, React Native, FastAPI, Electron, Prisma, MySQL, and TypeScript. My work often combines frontend usability with backend reliability, authentication, and structured data handling.
I am especially interested in creating production-ready systems with clean architecture, role-based access control, and scalable integrations. I have experience developing applications for staff management, health-related calculations, music launching, and Discord moderation.
Alongside web and app development, I am comfortable working with a broad technical stack that includes Python, Java, C, C++, Bash, Git, Linux, and modern database tools. I also have experience with PDF scraping, API design, and cross-platform desktop development.
I am a native Greek speaker with advanced English proficiency, and I am currently pursuing a Bachelor of Computer Science at the University of Western Macedonia. I am eager to continue growing as a software engineer and contributing to impactful technical projects.
Grade: 17.6/20
Contributed to UniBackpack, a Qt6/C++ cross-platform downloader, helping accelerate university software access for Greek students and reduce manual installation steps.
Improved usability and feature coverage of my.cs.uowm.gr through full stack development with JavaScript and modern web technologies. Integrated a PDF scraper into the university portal to automate weekly restaurant menu extraction.
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