Levente Daroczi

Cluj-Napoca, Cluj, Romania daroczilevente2@gmail.com

Computer Science graduate with strong backend and AI development skills. Proven success in building a full-stack automated testing system using AI-driven object detection (YOLO, OpenCV), with research published at IEEE and accepted in a Q2 journal. Eager to apply technical expertise in scalable software engineering and contribute to innovation in enterprise systems and AI-powered applications.


Experience

QA Automation Engineer Intern

Betfair Romania Development
Nov 2025 - Present

Full Stack Developer Intern

Codespring, Softech SRL

Built an automated, hardware-controlled testing system for software- driven controllers lacking built-in test frameworks — using a robotic arm and AI-based object detection (YOLO, OpenCV) to replicate human interactions.

Jul 2024 - May 2025

Education

Babes-Bolyai University

Bachelor in Computer Science
Oct 2022 - Jul 2025

Babes-Bolyai University

Master’s in Enterprise Software Design and Development
Sept 2025 - Present

Skills

Programming Languages
  • Java
  • Python
  • C
  • C#
  • C++
  • JavaScript
  • TypeScript
  • Swift
Frameworks/Libraries
  • Spring Boot
  • Flask
  • .NET
  • React
Tools
  • Git
  • Gitlab
  • Github
Database
  • MSSQL
  • MySQL
  • PostgreSQL
  • MongoDB
Cloud/DevOps
  • Docker
  • AWS
Others
  • OpenCV
  • YOLO
  • Agile (SCRUM)
  • CI/CD
Soft Skills
  • Team collaboration
  • Mentorship
  • Technical writing


Awards & Publications

  • 1st Place – Innovative IT Products, 28th Transylvanian Students’ Scientific Conference (2025)
    Awarded for the Bachelor’s thesis project: “Automated Testing of Interaction-Requiring Devices with a Robotic Arm and Object Detection.”

  • IEEE 23rd International Symposium on Intelligent Systems and Inform- atics (SISY 2025)
    (Sept 2025, Subotica, Serbia)
    Session on Intelligent Robotics Co-author of “Automated Testing of Interaction-Requiring Devices with a Robotic Arm and Object Detection”. Selected for publication in Acta Polytechnica Hungarica (Q2 Journal). DOI: 10.12700/APH.22.12.2025.12.18