Kaan Kalaycioglu
Computer Vision Engineer
Experience
Computer Vision Engineer
Axulus Reply GmbH
- Computer vision engineer responsible for development of industrial vision solutions, beginning as a working student and transitioning to a full-time role in May 2025.
- Designed and implemented vehicle detection and counting models; integrated the pipeline into a cloud-deployed system (Azure) that delivers live analytics dashboards.
- Building an offline print quality assurance system that scans corrugated-board prints on production lines to detect and classify defects such as splashes, impurities and colour deviations, deploying the solution on Jetson edge devices.
- Collaborated with cross-functional teams while focusing on computer vision components, containerization, and deployment.
Working Student
BSH Home Appliances Group
- Conducted research on AI trends relevant to product lifecycle management and collaborated with the PLM team to improve product development processes.
- Performed manual testing of Teamcenter Active Workspace and supported digitalisation initiatives.
Fullstack Developer
Avena Bilgi Teknolojileri
- Developed and maintained MERN-stack applications, including an internal time-tracking tool and a dental care system for the US market; improved performance and security through code reviews and optimisation.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Manufacturing (3 years), Healthcare (2 years), Information Technology (2 years), and Transportation (1.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Product Development (4.5 years), Information Technology (3.5 years), Quality Assurance (3 years), and Research and Development (1 year).
Summary
Computer Vision Engineer with an M.S. in Computer Science (May 2025) and a thesis on Referring Traffic Object Detection and Multi-Object Tracking.
Experienced in developing deep-learning and multi-modal models using Python, TensorFlow and PyTorch.
Currently leading industrial vision projects at Axulus Reply GmbH—including a taxi parking monitoring system and an offline print-quality assurance solution—and adept at research, analysis and cross-functional collaboration.
Skills
- Programming Languages: Python, C++, Javascript/typescript, Solidity
- Full-stack Development: React.js, Angular, React Native, Next.js, Tailwind Css, Html5, Css3, Node.js, Express.js, Flask, Mongodb
- Deep Learning Frameworks: Tensorflow, Pytorch, Keras
- Libraries & Tools: Numpy, Pandas, Scikit-learn, Opencv, Git, Docker, Aws, Jupyter, Kubernetes
Languages
Education
Technical University Munich
M.S. in Computer Science, Thesis: Referring Traffic Object Detection and Multi-Object Tracking · Computer Science · Munich, Germany
Middle East Technical University
B.S. in Computer Engineering · Computer Engineering · Ankara, Turkey
Profile
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