CV
Machine learning engineer with six years of experience shipping production ML and GenAI systems in fintech and e-commerce. Based in Stockholm, from Budapest, previously Manchester.
Main roles and studies only. Full profile on LinkedIn.
Experience
- 2026 – Present
Founder & CTO
Stealth Startup
- 2025 – 2026
Machine Learning Engineer
Trustly · Stockholm, Sweden
- Real-time ML for fraud prevention on pay-by-bank payments.
- Streaming feature engine for sub-second fraud feature extraction.
- Improved fraud labelling processes
- 2022 – 2025
Machine Learning Engineer
Sellpy · Stockholm, Sweden
- Production ML, recommendations, and MLOps for second-hand e-commerce.
- Vector search over image and text embeddings for real-time personalization.
- Led a garment size-extraction system (LLMs) aimed at cutting size-related returns.
- 2020 – 2022
Machine Learning Engineer
Ecobloom · Stockholm, Sweden
- Distributed GCP pipelines and deep learning for plant leaf detection and stress recognition.
- Helped stand up the first B2B and B2C products and presented the ML work for a $400k first round.
- 2018 – 2019
Research and Development Engineer
Nexperia · Manchester, United Kingdom
- Python simulation and analysis software for semiconductor device design, plus manufacturing-data insights.
Education
- 2020 – 2022
MSc, Machine Learning
KTH Royal Institute of Technology · Stockholm, Sweden
- Thesis: Semi-Supervised Plant Leaf Detection and Stress Recognition, supervised by Prof. Josephine Sullivan.
- Teaching assistant, DD2424 Deep Learning in Data Science.
- 2016 – 2020
BEng, Electronic Engineering, First-Class Honours
The University of Manchester · Manchester, United Kingdom
- Final-year project: real-time object detection on an NVIDIA Jetson Nano for a robotic arm, supervised by Prof. Hujun Yin.