Senior Computer Vision Engineer
Pano.ai
(Energie, Wasser und Umwelt, 50-250 Mitarbeiter)
Schlagwörter
Skills
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.Notably, I take pride in achieving the title of "National Math Champion in North Macedonia" during my high school years.
Projekthistorie
07/2023
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bis jetzt
Senior Data Scientist /Computer Vision (100% Remote Contract) at start-up Pano.ai
- Building computer vision algorithms for fire detection and tracking in the forest.
- Creating a tracking algorithm for tracking the fire during the night in the forest.
- Mathematical modelling of fire initiation and growth during the night.
Using: Python, OpenCV, Scikit-learn, GCP, GitHub
- Building computer vision algorithms for fire detection and tracking in the forest.
- Creating a tracking algorithm for tracking the fire during the night in the forest.
- Mathematical modelling of fire initiation and growth during the night.
Using: Python, OpenCV, Scikit-learn, GCP, GitHub
04/2023
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07/2023
Senior Data Scientist
Smartauger
(Industrie und Maschinenbau, < 10 Mitarbeiter)
Senior Data Scientist/Computer Vision (Side Project) at Smartauger
- Building computer vision algorithms for object (pipes, optical fibre cables) detection in
electromagnetic wave generated image from Ground Penetrating Radar.
- Running experiments and building the algorithm on simulated and real data.
- Guiding the stake holders on how to acquire the data from the real scenarios.
Using: PyTorch, Python, OpenCV, Scikit-learn, AWS, GitHub
- Building computer vision algorithms for object (pipes, optical fibre cables) detection in
electromagnetic wave generated image from Ground Penetrating Radar.
- Running experiments and building the algorithm on simulated and real data.
- Guiding the stake holders on how to acquire the data from the real scenarios.
Using: PyTorch, Python, OpenCV, Scikit-learn, AWS, GitHub
01/2023
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06/2023
Senior Computer Vision Engineer
Ramani.io
(Konsumgüter und Handel, 250-500 Mitarbeiter)
Senior Data Scientist /Computer Vision (100% Remote Contract) at start-up Ramani.io
- Building computer vision algorithms for object detection, counting and tracking in warehouses
- 3D reconstruction of the objects based on multiple images.
Using: PyTorch, Python, OpenCV, Heroku, Scikit-learn, AWS, Roboflow, Graph theory, GitHub
- Building computer vision algorithms for object detection, counting and tracking in warehouses
- 3D reconstruction of the objects based on multiple images.
Using: PyTorch, Python, OpenCV, Heroku, Scikit-learn, AWS, Roboflow, Graph theory, GitHub
05/2021
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03/2023
Senior Computer Vision Engineer
Rare Edition
(Sonstiges, 10-50 Mitarbeiter)
Building computer vision algorithms for card defect evaluation. Quality Assurance for collectibles.
Using: Python, OpenCV, AWS, Matplotlib, TensorFlow, Keras
Using: Python, OpenCV, AWS, Matplotlib, TensorFlow, Keras
08/2022
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01/2023
Senior Data Scientist
Heraeus Group
(Pharma und Medizintechnik, >10.000 Mitarbeiter)
Senior Data Scientist /Computer Vision (100% Remote Contract) at Heraeus Group
- Building computer vision algorithms for object detection and tracking of defects of
manufactured parts in X-ray images.
- Optimize the detection and tracking to process more than ~17 images per second.
- Communicating with clients so that data and annotation achieve the best quality
Using: PyTorch, Python, OpenCV, Kalman Filters, Azure, Scikit-learn, Jupyter, GitHub, Pandas
- Building computer vision algorithms for object detection and tracking of defects of
manufactured parts in X-ray images.
- Optimize the detection and tracking to process more than ~17 images per second.
- Communicating with clients so that data and annotation achieve the best quality
Using: PyTorch, Python, OpenCV, Kalman Filters, Azure, Scikit-learn, Jupyter, GitHub, Pandas
06/2022
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10/2022
Machine Learning Engineer
Tolstoy.ai
(Energie, Wasser und Umwelt, < 10 Mitarbeiter)
Build an OCR automatic parsing of the data when they are uploaded on Google Drive
- Handled several templates
Used: Python, tesseract, pytesseract-OCR, Docker, OpenCV, GCP, Cloud Run, Scheduler
- Handled several templates
Used: Python, tesseract, pytesseract-OCR, Docker, OpenCV, GCP, Cloud Run, Scheduler
04/2020
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07/2020
Data Scientist / NLP Engineer
(Telekommunikation, 5000-10.000 Mitarbeiter)
Built an invoice data extraction algorithm for a private German digital post service.
Used: Python, OpenCV,Azure Cognitive Services, sci-kit learn, spaCy
Used: Python, OpenCV,Azure Cognitive Services, sci-kit learn, spaCy
07/2019
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03/2020
Computer Vision Engineer
Volkswagen
(Automobil und Fahrzeugbau, >10.000 Mitarbeiter)
Built an object detection and tracking algorithm for counting objects in 3D Computed Tomography images of vehicle parts. Reduced the human (worker) time from ~120 minutes to 5 minutes.
Used: Python, OpenCV, Keras, TensorFlow, Azure Cognitive Services, sci-kit learn, Kalman Filters
Used: Python, OpenCV, Keras, TensorFlow, Azure Cognitive Services, sci-kit learn, Kalman Filters
04/2019
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07/2019
Data Scientist Consultant
AIRBUS
(Sonstiges, >10.000 Mitarbeiter)
System design for change detection in Airplane Cabin using Radio Frequency Signals.
10/2018
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04/2019
Data Science Scientist
AIRBUS
(Sonstiges, >10.000 Mitarbeiter)
Built a pore detection algorithm in 3D CT-Scans of airplane parts with 99.x% accuracy.
Used: Python, Tensorflow, Keras, sci-kit learn, and AWS.
Used: Python, Tensorflow, Keras, sci-kit learn, and AWS.
06/2015
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10/2018
Computer Vision Scientist
Bundeswehr University Munich, Institute of Applied Computer Science
(Architektur und Bauwesen, >10.000 Mitarbeiter)
Built a Semantic Scene Segmentation algorithm for façade images, which is state-of-the-art for small datasets.
- Created a dataset for detailed facade segmentation, including transoms and mullions of windows. First analyzed and considered these data for creating high-quality 3D building models.
- Built a complete pipeline for façade segmentation from data acquisition up to deployment.
Used: C++, OpenCV, Python, TensorFlow, and Matlab.
- Created a dataset for detailed facade segmentation, including transoms and mullions of windows. First analyzed and considered these data for creating high-quality 3D building models.
- Built a complete pipeline for façade segmentation from data acquisition up to deployment.
Used: C++, OpenCV, Python, TensorFlow, and Matlab.
12/2014
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05/2015
Machine learning engineer
zyncd.com (acquired by Capacity LLC)
(Internet und Informationstechnologie, < 10 Mitarbeiter)
Built a matching algorithm for user profiles with problem descriptions. Improved the accuracy
for more than 50%
Used: Python, SQL, sci-kit learn, word2vec and CherryPy
for more than 50%
Used: Python, SQL, sci-kit learn, word2vec and CherryPy
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