
PhD @ UniLJ. Interested in computer vision for remote sensing and anomaly detection.
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University of Ljubljana
FPGA Developer
June 29, 2026 – Present
changeflow
May 14, 2026 – Present
ChangeFlow - Latent Rectified Flow for Change Detection in Remote Sensing
View Projectmason_cd
February 25, 2026 – Present
Make Some Noise: Unsupervised Remote Sensing Change Detection Using Latent Space Perturbations
View ProjectBTC-change-detection
June 3, 2025 – December 1, 2025
[IEEE TGRS 2025] Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices
View ProjectSuperSimpleNet
March 19, 2024 – October 16, 2025
Official implementation of SuperSimpleNet [ICPR 2024, JIMS 2025]
View Projectgesture_recognition
June 21, 2022 – September 14, 2022
Repository is part of my BSc thesis with title "Gesture recognition in video streams on an embedded device"
View ProjectSTM32F411-rust-neopixel
February 20, 2022 – February 27, 2022
Project for STM32F411 (blackpill) using ws2812 ledstrip, written in Rust
View Projectfpga-neopixel
February 1, 2022 – February 1, 2022
FPGA module for NeoPixel led-strip written in VHDL. Works with ws2812b (RGB) and sk6812 (RGBW).
View ProjectESP32-music-beat-sync
May 8, 2021 – February 5, 2022
A small experiment using esp32, max9814 microphone, neopixels and arduinoFFT to sync ledstrip with music.
View Projectpi_pico_neopixel
April 11, 2021 – April 20, 2025
Pi Pico library for NeoPixel led-strip written in MicroPython. Works with ws2812b (RGB) and sk6812 (RGBW).
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, showing initiative and a passion for embedded systems and hardware. The 'University of Ljubljana' experience as an FPGA Developer aligns directly with the target role. However, the breadth of projects outside of direct FPGA work (e.g., remote sensing, machine learning) suggests a diverse interest, which could be a strength for cross-functional collaboration but also indicates less focused experience solely on FPGA development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.