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Work Experience
Machine Learning and Computer Vision Research Intern at Siemens Healthineers
- Developed an automated co-registration method for paired CTA and OCT/IVUS images using Python and advanced machine learning techniques, resulting in improved AI training accuracy with higher-quality ground truth data for coronary artery analysis.
- Applied advanced computational methods, including optimization algorithms and image processing techniques, to enhance medical image co-registration accuracy, achieving optimized alignment between different imaging modalities for more precise diagnostic analysis.
Vision and Perception Developer at Delivers.ai
- Refined algorithm parameters and integrated advanced deep learning models, achieving an 87% improvement in landmark localization accuracy using Python and CNN frameworks.
- Enhanced the positional accuracy of delivery robots by 63 centimeters through the implementation of NetVLAD and ROS, resulting in more reliable navigation and a significant reduction in delivery errors.
Image Processing Engineer Intern at Vispera
- Developed and implemented image stitching algorithms using Python and OpenCV, improving the accuracy of product shelf monitoring by 20% and reducing manual stock tracking time by 45%, leading to more efficient supermarket operations.
Software Engineer at Baykar Technologies
- Developed formation flight algorithms for emerging technologies such as UAV swarms and designed simulation interfaces using C++ and C#, optimizing collaborative flight strategies and improving swarm coordination.
- Facilitated knowledge-sharing and problem-solving across interdisciplinary teams, enhancing collaboration and efficiency in UAV swarm projects through effective communication and teamwork.
Education
Doctor of Philosophy in Electrical and Computer Engineering
The George Washington University, 2022 - Present
GPA: 4.00/4.00
Relevant Courses:
- Design & Analysis of Algorithms
- Machine Learning
- Reinforcement Learning
- Computer Vision
- Applied Optimization Modeling
- Machine Intelligence
- Linear Optimization
Bachelor of Science in Electrical and Electronics Engineering
Bogazici University, 2017 - 2022
GPA: 3.72/4.00
Relevant Courses:
- Image Processing
- Computer Vision
- Probability
- Linear Algebra
- Computer Networks