Experience

greehill
• Hungary
• Information Services
• 1 - 100 Employee
• Machine Learning Engineer

  • Nov 2021 - Present


Sony

• Entertainment Providers
• 700 & Above Employee

• Master Thesis Project

  • Jan 2021 - Jun 2021

  Self-supervised Learning for Efficient Object Detection Self-supervised Learning for Efficient Object Detection



Bosch

• Germany
• Think Tanks
• 1 - 100 Employee

• Research Intern

  • Feb 2019 - Sep 2019

  I was part of the Advanced Engineering group working on Highly Automated Driving solutions. Gained practical experience in developing and training Deep Neural Networks using Pytorch. I was part of the Advanced Engineering group working on Highly Automated Driving solutions. Gained practical experience in developing and training Deep Neural Networks using Pytorch.



BME Formula Racing Team

• Hungary
• Motor Vehicle Manufacturing
• 1 - 100 Employee

• Head of Driverless

  • May 2017 - Aug 2018

  Coordinated 15 engineering students towards designing and building a driverless race car for Formula Student Driverless. Also supervised engineering solutions, and developed key elements of the autonomous system: SLAM, computer vision, LiDAR perception. Competitions:​ FSEast (Hungary) 5th place, FSG (Germany) 15th place Coordinated 15 engineering students towards designing and building a driverless race car for Formula Student Driverless. Also supervised engineering solutions, and developed key elements of the autonomous system: SLAM, computer vision, LiDAR perception. Competitions:​ FSEast (Hungary) 5th place, FSG (Germany) 15th place



MTA SZTAKI (Institute for Computer Science and Control)

• Intern

  • Jun 2017 - Aug 2017

  Developed and tested a semantic segmentation algorithm using deep learning. The algorithm was tested on real-world urban drone data. Developed and tested a semantic segmentation algorithm using deep learning. The algorithm was tested on real-world urban drone data.