About
Profile: A highly skilled embedded systems and machine learning engineer specializing in low-footprint hardware solutions and Linux kernel development. Active contributor to open source, with experience across multiple international engineering roles and strong academic foundation in electronics engineering.
Work
Dresden, Saxony, Germany
Summary
Lead development and maintenance of the Amazon Linux kernel, driving performance, security, and compatibility across AWS Linux offerings.
Highlights
Developed kernel features for Amazon Linux used by EC2 instances.
Collaborated in upstream Linux kernel contributions and AWS internal kernel enhancements.
Dresden, Saxony, Germany
Summary
Responsible for designing and executing comprehensive testing strategies for Amazon Linux distributions.
Highlights
Implemented automated test pipelines for kernel validation.
Enhanced regression testing to improve release reliability.
Canal Harbour (Dublin), Leinster, Ireland
Summary
Embedded systems development for client-integrated firmware solutions.
Highlights
Delivered firmware for IoT/embedded applications for European clients.
Applied agile development methodologies across hardware-software lifecycle.
Education
Skills
Embedded Linux
kernel development, Petalinux, Zephyr RTOS, embedded systems.
Machine Learning & Computer Vision
OpenCV, image processing, CNN, MATLAB.
Programming Languages
C, C++, Python, Bash, JavaScript.
Development Tools & Frameworks
Git, gRPC, Node.js, MongoDB, Arduino, Markdown, LaTeX.
IoT & Networking
Bluetooth, nRF Connect SDK, cellular communications, 3GPP.