Open to opportunities

Kujtim Rahmani

@kujtimrahmani

Message

I build computer vision and machine learning systems for real-time detection, tracking, OCR, and industrial automation.

North Macedonia

Message

What I'm looking for

I'm looking to lead or architect practical computer vision and machine learning systems, from data acquisition and modeling through deployment, while collaborating with teams solving real-world industrial, public-sector, and product challenges.

At Pano.ai, I lead computer vision algorithm development for real-time smoke and fire detection across day and night conditions. My work on multi-frame detection, single-camera distance estimation, and fire-growth modeling helped reduce costs by around $10 million.

I've delivered production AI systems across industrial inspection, warehouses, collectibles, autonomous driving, museums, banking, and public-sector training. My work includes 99.9% accurate pore detection at AIRBUS, 3D CT object tracking that reduced manual work from about 120 minutes to 5 minutes, and high-speed defect detection for manufacturing.

I also teach Linear Algebra, Data Science, AI, Generative AI, and prompt engineering, and advise teams on AI architecture. I work primarily with Python, PyTorch, OpenCV, TensorFlow, cloud platforms, and practical machine learning systems from data acquisition through deployment.

Experience

Work history, roles, and key accomplishments

Current

Computer Vision Algorithm Developer

Current

Pano.ai

Jun 2023 - Present (3 years 3 months)

Lead the development of state-of-the-art computer vision algorithms for fire detection, multi-frame detectors, and distance estimation. Achieved real-time smoke and fire detection, reducing costs by around $10 million over 26 months.

Python PyTorch Transformers OpenCV scikit learn GCP GitHub Pandas SQL

Education

Degrees, certifications, and relevant coursework

Bundeswehr University Munich

Doctor of Philosophy, Computer Science

2015 - 2020

Grade: 1.3 (Magna Cum Laude)

Ph.D. in Computer Science with a thesis on facade interpretation from images, supervised by Prof. Dr.-Ing. Helmut Mayer. Graduated with grade 1.3, Magna Cum Laude.