Co-Founder and Head of IoT & Product Development at IPercept. I design and build industrial IIoT devices and AI products that help manufacturers understand and predict machine behavior — from embedded hardware to scalable cloud systems. At heart, a systems builder who cares about robustness, architecture, and getting things right.
Experience
Co-founder & Head of IoT & Product Development
Leading product and hardware development at IPercept — a Stockholm-based industrial AI company focused on predictive maintenance for CNC manufacturing. Building the IPercept Smart IIoT device (IMUs, vibration sensors, embedded Linux) and the IPercept CNC Copilot™. Deep focus on hardware robustness, EMI, reliability in harsh environments, and scalable production systems. Spans technical leadership across hardware, software, AI, and go-to-market.
Research Engineer
Applied research engineering bridging academic research and practical engineering solutions.
Engineering Trainee
Engineering traineeship at one of Europe's largest automotive manufacturing facilities. Recipient of the AUDI HUNGARIA Future's Engineers Scholarship.
Junior Templeton Fellow
Selected as a Jr Templeton Fellow — a competitive fellowship recognising exceptional early-career talent.
Education
MSc Mechatronics, Robotics & Automation Engineering
Graduate engineering degree combining mechanical, electrical, and computer engineering disciplines.
BSc Mechanical Engineering
Undergraduate engineering degree. Participated in the Pneumobil project — a Bosch Rexroth compressed-air vehicle competition (2015–2016).
Publications
Performance Evaluation of LiDAR-Based Position Measurement System
Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology (pp. 325–326). Methodology for evaluating volumetric positioning errors of LiDAR systems, using laser tracker validation in a 3D Cartesian coordinate system.
A Benchmark of Popular Indoor 3D Reconstruction Technologies: Comparison of ARCore and RTAB-Map
Electronics, 9(12), Article 2091. MDPI. Comparative study of depth-image based RTAB-Map and Google ARCore for 3D reconstruction, evaluated via length measurement on a purpose-designed reference object. Case studies include interior surveying and landmark mapping.
Indoor Localization of Quadcopters in Industrial Environment
Advances in Transdisciplinary Engineering, IOS Press (pp. 453–464). 9th Swedish Production Symposium. Design and implementation of a GPS-free indoor positioning system for UAVs using ArUco markers, LiDAR/SLAM, and IMU-camera fusion via Extended Kalman Filter — built on ROS and Raspberry Pi.
Full publication list on ResearchGate · KTH DiVA
Skills
IIoT Hardware Development
Designing industrial IoT devices for harsh environments — IMUs, vibration sensors, embedded Linux. Attention to hardware robustness, EMI, grounding, and production reliability.
Embedded Systems
Firmware and embedded software for industrial devices. Focus on long-term reliability and maintainability over clever shortcuts.
Industrial AI
Machine monitoring, anomaly detection, and AI-driven insights for CNC and manufacturing. Building systems that are correct and robust, not just functional.
Robotics & Mechatronics
Systems integration across mechanical, electrical, and software domains. MSc background at Budapest University of Technology.
System Architecture
Thinking through long-term design decisions — scalable production, testing systems, and architecture that holds up over time.
Engineering Leadership
Co-founder experience spanning hardware, software, AI, and go-to-market. Driving product and company direction from zero to production scale.
Languages: English · German
Projects
NMEA 2000 Sailing System
Building a custom NMEA 2000 network for sailing — integrating instruments, sensors, and displays on the boat. The same systems thinking as industrial IoT, on the water.
Embedded · MarineHome Lab & Self-Hosted Stack
Self-hosted infrastructure — home server, sensors, automation, monitoring. Because the cloud is just someone else's computer.
Self-hosted · InfrastructureDrone Photography
Aerial photography as a creative outlet. Capturing landscapes, cities, and moments from a perspective most people never see.
Photography · AerialIPercept
Co-founded industrial AI platform for CNC machine monitoring. IPercept Smart IIoT device, Motion Pattern Method™, CNC Copilot™.
ipercept.io →Sports & Activities
Svenska Klassikern
Completed all four events of Svenska Klassikern in 2025 — one of Sweden's most demanding multi-sport challenges. Ski, bike, run, and open water swim.
Sailing
On the water when possible
Cycling, running & swimming
Endurance sports — year-round
Hiking & outdoors
Mountains, trails, and exploring new places