I work at the intersection of manufacturing physics, industrial AI, and deployable software. As Senior Algorithm Engineer in Bodor Laser R&D, I develop intelligent technologies for high-power fiber-laser cutting — from parameter optimization and defect-guided correction to multimodal monitoring, machine vision, and closed-loop process control.
My current work is organized around two complementary directions: industrial deployment, where algorithms must survive real machines, noisy sensors, latency constraints, and changing process windows; and research toward autonomous manufacturing, including deployment-aware AI, digital twins, physics-informed learning, reinforcement-learning-based adaptation, and agentic AI for process and maintenance decision support.
My background spans mechanical design, laser-material interaction, machine learning, optimization, computer vision, predictive maintenance, and cross-functional engineering. That combination lets me move from an experimental question to a validated algorithm, and from a validated algorithm to software that can be integrated with industrial equipment.
