Conducted research and development on weight biomarkers from facial images for studies related to eating disorder treatments
Implemented feature extraction algorithms using MediaPipe and facial landmarks to build machine learning models for weight and BMI (Body Mass Index) prediction from face images
Developed CNN-based and transformer-based computer vision models for predicting BMI variations from image pairs
Applied model explanation techniques such as saliency maps and Grad-CAM to improve interpretability of deep learning models
Jan 2024 - Dec 2025
2 years
United States
Senior Computer Vision Developer
KEYO
Researched, developed, and implemented a palm-based biometric identification system
Implemented and fine-tuned Siamese neural networks for palm-based biometric identification (image similarity) and conducted training and testing
Developed anti-spoofing algorithms based on neural networks and classical image processing techniques
Created image segmentation models for background replacement
Jan 2020 - Dec 2024
5 years
Turkey
Technical Leader in AI Domain
Beko Research
Researched, developed, and implemented AI/ML and deep learning algorithms focusing on computer vision applications for white-goods and home appliances
Implemented object recognition using YOLO
Implemented image classification using CNN
Developed cooking termination models using CNN-LSTM
Developed human detection, image undistortion, image blurry measurement, and other intelligent applications for image enhancement, correction, cropping and analysis
Implemented NLP models for ranking customer comments on a scale from 1 to 5 and for text segmentation
Jan 2018 - Dec 2020
3 years
Turkey
Experienced Researcher
Ericsson Research
Conducted research in software vulnerability prediction from source code using machine learning
Researched 5G and IoT with a focus on security and privacy
Worked on IoT use cases such as Smart Grid and Smart Manufacturing (Industry 4.0) including functional safety and AI integration
Implemented privacy-preserving techniques for ML including federated learning, differentially private LSTM for load forecasting, and secure aggregation via multiparty computation
Filed multiple patent applications related to these technologies and 3GPP standards
Jan 2017 - Dec 2018
2 years
United States
Postdoctoral Researcher
University of Nebraska
Developed mathematical models and performed simulation experiments for ODIN (Open Dynamic Interaction Networks)
Analyzed information diffusion and social influence in social networks using machine learning techniques
Languages
Turkish
Native
English
Advanced
Education
City University of New York (CUNY)
PhD in Computer Science · Computer Science · New York, United States