Skill set (31)
Kujtim in a few words
I am Dr. Kujtim Rahmani (a Computer Vision/ Machine Learning Engineer with more than 10 years of experience where more than 4 years of experience in academia in Computer vision and machine learning, and more than 4 years of industrial experience. I have worked with two startups where I have built products from scratch. Additionally, I have worked as a consultant, mainly for the German Automotive industry, and as a Data Scientist researcher for Airbus.
I have pursued a Ph.D. in Computer Science (Computer Vision and Machine Learning), where I have built hybrid methods (using traditional Machine Learning and Deep Learning) for urban scene understanding.
Additionally, I have a passion for discrete math and algorithms. I have participated in more than 100 competitions where I have solved different algorithms and math problems. Proud of, "I have been a national math champion in North Macedonia during high school."
Experience
- Pano.aiSenior Data Scientist /Computer VisionENVIRONMENTALJune 2023 - Today (1 year and 7 months)Kumanovo, North MacedoniaSenior Data Scientist /Computer Vision (100% Remote Contract) at start-up Pano.ai- Developed a highly efficient hybrid computer vision algorithm for fire detection and tracking inforest environments in videos.- Developed a specialized tracking algorithm for nighttime forest fire monitoring.- Creating 3D deep convolution based Smoke detection during daytime- Mathematical modeling of the fire initiation and growing during the night.Technologies: Python, OpenCV, Scikit-learn, GCP, GitHub
- SemosTrainer and AI Project ArchitectEDUCATION & E-LEARNINGApril 2023 - Today (1 year and 9 months)Kumanovo, North MacedoniaTrainer and AI Project Architect at Semos Education- Mentor student and industrial projects in fintech and manufacturing sector- Training Banks, Financial institutions, and manufacturing factories in usage of ArtificialIntelligence- Successful projects:- Integrate a Generative AI solution to a large bank- Integrate a Computer vision solution in Iron classification and “measurements” in a largemanufacturing company- OCR for a stock Iron stock management from the excavators.- Information extraction from Financial reports
- Collx.appMachine Learning EngineerENTERTAINMENT & LEISUREJanuary 2023 - April 2023 (2 months)Kumanovo, North MacedoniaMachine Learning Engineer (Remote) at Collx.app- Created image search/matching engine for sports and game cards, utilizing contrastive andtriplet loss metrics.- Used contrastive and triplet loss metrics to build an image embedding system.- Build a hard example mining system for improving the algorithms- Implemented FAISS indexer for efficient image indexing.Technologies: PyTorch, Python, FAISS, OpenCV, ONNX, ResNet, Flask, GitHub, Pandas
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Education
- Doctor of Philosophy - PhD, Computer ScienceBundeswehr University Munich2020Doctor of Philosophy - PhD, Computer Science
- Master's degree, Artificial IntelligenceTU Munich2014Master's degree, Artificial Intelligence
- Bachelor of Science in Computer ScienceUniverzitet 'Sv. Kiril i Metódij' vo Skopje2012Bachelor of informatics, Computer Science