Research, engineering, and practical systems.

I work at the intersection of navigation research, sensor fusion, and real-time software systems. Currently focusing on resilient positioning algorithms for GNSS-denied environments, I combine academic research with Python, C++, and embedded systems development.

With a background in building calibration tools, data pipelines, and automation hardware, I focus on creating high-reliability systems that bridge physical sensors and software architectures.

My research interests center around Particle Filters, Extended/Unscented Kalman Filters, and Factor Graph Optimization techniques. I am particularly focused on dynamic calibration methods that can run directly on embedded hardware to correct MEMS IMU sensor errors on-the-fly.