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János LitkeiSoftware Engineer
Email
[email protected]
Phone
0793535891
Location
Gothenburg, Sweden
janoslitkei.com
GitHub
github.com/jnsltk
LinkedIn
janoslitkei

Recent BSc graduate in Software Engineerign and Management with 3 years of experience in academic and personal projects. Eager to apply skills in an entry-level Software Engineering or DevOps role.

Project Portfolio: janoslitkei.com

Education

Software Engineering and Management (BSc)

University of Gothenburg
2022 – 06/2025 | Gothenburg, Sweden

Focus: Software Engineering, Project Management, Agile, System Design, Web Development, Distributed Systems, Testing, Machine Learning, Concurrent Programming

Thesis: Developing a VS Code extension for T-Reqs, an open-source requirements management tool

Chinese Studies (BA)

Eötvös Loránd University
2018 – 2021 | Budapest, Hungary
Skills
Programming Languages
  • Most confident: TypeScript/JavaScript, Python, Java, SQL
  • Previously used: C, Go, PHP
Frameworks/Libraries

React, Vue, Express, Nextjs, Django

Databases

PostgreSQL, MongoDB + Mongoose

DevOps

Docker, Linux, Git, GitLab CI, GitHub actions

Currently exploring Kubernetes

Concepts

Agile, CI/CD, Concurrency, Microservice Architecture, Pub-Sub (MQTT), Relational Data Modelling

Languages
Hungarian (Native Speaker), English (C1), Mandarin Chinese (B2-C1), Swedish (A2-B1)
Work Experience

Delivery Rider

Velove Bikes AB
2023 – Present | Gothenburg, Sweden

Part-time job as a delivery rider, responsible for delivering parcels on a cargo bike. Balanced part-time delivery work with academic projects, demonstrating time management and adaptability

Projects

T-Reqs VS Code

BSc Thesis project
03/2025 – 06/2025

Developed a VS Code extension for T-Reqs, an open-source requirements management tool. My main role was working on the LSP part of the extension, developing the parser and diagnostics.

Personal Portfolio

Creator and sole developer
12/2024 – 02/2025

Designed, engineered and deployed a personal portfolio website from scratch using Next.js, TailwindCSS and Three.js. Visit for more information and projects.

Fraud Detection AI

Developer
10/2024 – 01/2025

Developed a full-stack web app to detect financial fraud using machine learning (scikit-learn). Designed the UI with Tailwind CSS/HTMX, built the backend with Django, and integrated an ML model for real-time transaction analysis. Containerized the app with Docker and deployed it on Kubernetes to ensure scalability.