Personal details

Kujtim R. - Remote data scientist

Kujtim R.

Computer Vision Engineer
Based in: 🇲🇰 Macedonia
Timezone: Berlin (UTC+2)

Summary

Dr. Kujtim Rahmani is a versatile Data Scientist with extensive experience across startups, manufacturing, fintech, and education. He excels in computer vision, NLP, and OCR, developing innovative solutions in fire detection, object tracking, and financial data extraction. With a Ph.D. in Computer Science and a Master's in Informatics, Kujtim combines academic rigor with practical expertise. He's not only a leader in his field but also a mathematics champion, having participated in over 100 algorithmic and math competitions, showcasing his problem-solving prowess. Proficient in Python, C++, OpenCV, TensorFlow, and more, Kujtim's technical acumen is augmented by certifications as a Certified AI Practitioner and Microsoft Certified Azure Data Scientist Associate. Fluent in multiple languages, his communication skills and ability to tackle diverse challenges make him a valuable asset in driving impactful results.

Work Experience

Computer Vision Algorithm Lead
Pano.ai | Jun 2023 - Present
Python
OpenCV
GitHub
  • Developed a highly efficient hybrid computer vision algorithm for fire detection and tracking in forest environments in videos.
  • Developed a specialized tracking algorithm for nighttime forest fire monitoring.
  • Created 3D deep convolution based Smoke detection during daytime
  • Mathematical modeling of fire initiation and growth during the night.
  • Developed different evaluation metrics for fire detection

Technologies: Python, OpenCV, Scikit-learn, GCP, GitHub, Pytorch, Pandas

Trainer and AI Project Architect
Semos Education | Apr 2023 - Present
Python
Azure
PyTorch
  • Mentor student and industrial projects in fintech and manufacturing sector
  • Providing training and consulting services for banks, financial institutions, and manufacturing factories in the field of Artificial Intelligence
  • Successful projects:
    - Integrate a Generative AI solution at a large bank
    - Integrate a computer vision solution into iron classification and "measurements" in a large manufacturing company
    - OCR for the stock Iron stock management from the excavators.
    - Information extraction from Financial reports

Education

Bundeswehr University Munich, Institute of Applied Computer Science
Doctor's degreeComputer Vision/Computer Science
May 2015 - Nov 2019
Technical University Munich
Master's degreeComputer Science / Machine Learning
Oct 2012 - Nov 2014

Personal Projects

Hybrid methofd for window detection
2022
Python
OpenCV
PyTorch

Certifications & Awards

Azure Data Science
Microsoft | Sep 2020