Istanbul, Türkiye
Dynamic AI executive with 19+ years of experience in artificial intelligence, software development, and leadership. Proven track record in driving innovation, managing high-performing teams, and delivering AI-driven solutions that improved customer retention, reduced costs, and enhanced efficiency. Experienced in both corporate and startup environments, advising senior executives on technology strategy. Currently pursuing a Ph.D. in Computer Engineering, specializing in deep learning, NLP, and computer vision, with 15+ R&D projects funded by TÜBİTAK and the EU. Recognized for bridging academic research with real-world applications to achieve measurable business outcomes.
• Partner with visionary organizations to translate AI investments into measurable commercial success. • Design and deploy tailored AI architectures, including Large Language Models and predictive analytics. • Manage and deliver over 15 major R&D projects, securing essential funding through expert grant management. • Bridge academic methodologies with commercial product development to build high-performing technology teams.
Current: - CSE 462: Artificial Intelligence (Prof. Dr. Emin Erkan Korkmaz) - CSE 588: Deep Learning (Prof. Dr. Emin Erkan Korkmaz) - AI 401: Artificial Intelligence (Prof. Dr. Emin Erkan Korkmaz) Previous Years: - CSE 311: Analysis of Algorithms (Asst. Prof. Dr. Onur Demir)
• Leading the AI and R&D strategy for next-generation healthcare solutions, securing and managing major TÜBİTAK-funded projects (1501 & 1832). • Directing the "Image Processing Supported Patient Monitoring" project. Developed a real-time fall risk detection system using CNNs (YOLO) and edge computing, achieving >90% accuracy and <10s alert latency. • Spearheading the "Green and Sustainable Digital Solutions" initiative (TÜBİTAK 1832), focusing on reducing carbon footprint in healthcare through AI automation. • Architected the "AI Companion" utilizing LLMs for automated SOAP note generation and an "Automated Strip Analysis System" using Digital Signal Processing (DSP) for ECG rhythm analysis.
• Spearheaded the AI roadmap at BAYEGAN, aligning it with business objectives to enhance predictive analytics and risk management. • Directed the design and deployment of AI-driven solutions, focusing on model training and optimization for automated trading systems. • Fostered cross-functional collaboration with trading desks and software engineers to integrate AI technologies seamlessly into workflows.
• Spearheaded AI-driven customer segmentation models, transforming raw data into actionable insights for marketing. • Oversaw real-time next-order prediction systems, ensuring scalability in high-transaction e-commerce environments. • Pioneered advanced AI methodologies, enhancing customer loyalty strategies through innovative techniques.