At NetFire, I design, build, and deploy data and multimodal AI pipelines for a sales-focused AI product, including data ingestion, extraction from PDFs and images, processing, and quality monitoring.
At Karlsruhe Institute of Technology, I implemented and deployed computer vision perception algorithms on a humanoid robot using NVIDIA Jetson for real-time edge processing.
At Solargis, I built machine learning models for predictive cloud cover forecasting and engineered pipelines for multispectral geospatial imagery. I also worked with meteorologists and domain physicists on feature engineering and model evaluation.
My PhD research at Slovak University of Technology, FIIT focused on multimodal computer vision for autonomous systems, including 3D trajectory forecasting from fused RGB imagery and LiDAR point clouds. I designed and trained deep learning architectures in PyTorch and optimized them for low-latency edge inference.
