Kauza ApS

ML ninja

• Developing advanced language models to drive industry-leading consumer data products
• Operating at scale with robust data governance
• Tech stack: Python, GCP, and all the blazing-fast Rust libraries 🔥

Metriks ApS

Lead Frontend Engineer

• Redesigned and built a new and modern webapp frontend with sleek, responsive UI/UX
• Stepped into backend and DevOps to keep things running fast and smooth
• Tech stack: React, Redux, Next.js, FastAPI, Redis, Docker, TypeScript, Python

MaxWhere Solutions Ltd.

Junior Software Engineer

• Engineered custom digital twin platforms tailored to client needs
• Built real-time visualization tools for additive manufacturing workflows
• Tech stack: React, Vue, Three.js, Electron, TypeScript, Python

Profirent Kft.

Junior Software Engineer

• Empowered the sales team with scripting, automation, and custom tools
• Delivered AI-powered archiving solution, eliminating ~300 hours of manual work
• Tech stack: Python, PyTorch, Google Tesseract

Robotizálunk Kft.

Engineering Intern

• Built drone-powered automation systems for warehouse inventory management
• Developed image recognition software for both onboard and server-side processing
• Tech stack: Python, OpenCV, PyTorch, TorchVision, ROS

Technical University of Denmark

MSc. Autonomous Systems

• Master's education focusing on Robotics, Control, AI, and Human-Computer Interaction
• Specialized in Computer Vision and Deep Learning for Autonomous Systems
• Thesis project: Global Localization of Earthly Images powered by Deep Learning

Budapest University of Technology and Economics

BSc. Mechatronical Engineering

• Bachelor's education focusing on Mechanical, Electrical, and Control Engineering
• Specialized in Cyberphysical Systems and Robotics
• Thesis project: Implementing Additive Manufacturing Processes in Digital Twin Systems

LOCUS Image Geolocation Webapp

MSc. thesis project

• Full stack Deep Learning project with webapp deployed on the cloud
• Implemented a novel method for global image localization using deep learning
• Developed using cuttintg edge technologies in MLOps, Webdev, and Deep Learning
• Tech stack: SvelteKit, TailwindCSS, TypeScript, PyTorch, Polars, PostgreSQL, Docker

BEST Copenhagen ValHacks hackathon

Placed 3rd

• Developed a solution for processing audio signals for sleep monitoring of babies
• Created a bespoke webapp for integrating with client hardware
• Awarded for being only team to implement user-facing features with intuitive design

Teaching Assistant at Technical University of Denmark

Machine Learning and Data Mining | Introduction to Programming

• Assisted students in understanding complex topics in Machine Learning and Data Mining
• Developed communicating ideas clearly, transcending skill and language barriers
• Commended for ability to give clear and concise explanations and positive attitude