I work on computer vision systems at the boundary of research and production: robotic perception, efficient edge AI, and media-intelligence pipelines. I am a PhD researcher at KPI and work on applied ML / Core AI at Samba TV.
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Current work
- Robotic perception, visual navigation, and coordination for autonomous systems.
- Edge AI and media intelligence: video understanding, deployment, and production ML systems.
Selected work
- Depth-Assisted Sparse Visual Odometry for UAV-Relevant Synthetic RGB-D Evaluation. Robotics, 2026. paper · code · dataset
- Edge Intelligence Resource Consumption by UAV-based IR Object Detection. UAVM, 2023. paper
- Object Detection for Rescue Operations by High-Altitude Infrared Thermal Imaging Collected by UAVs. IbPRIA, 2023. paper
Recent writing
- Depth-Assisted Sparse Visual Odometry: A Controlled Geometric-Backend AblationAnnouncement of my new Robotics paper on depth-assisted sparse visual odometry.
- Efficiency in AI: Practical tips for optimizing AISlides from my public talk on practical AI efficiency.
- How Object Detection Evolved: From Region Proposals and Haar Cascades to Zero-Shot TechniquesSlides and recording from my talk on the evolution of object detection.
- ChatGPT in Machine LearningAn early look at how ChatGPT explains machine learning concepts and where to be cautious.
- Classification Metrics: Visual ExplanationsVisual explanations of accuracy, precision, recall, F1, ROC curves, and AUC.
- Lightweight Neural Network ArchitecturesSlides and recording from my talk on lightweight neural network architectures.
- Welcome!A short note on why I started writing about my machine learning work.