Emre Kulaber

• Contributed to AI-based forecasting models for pricing optimization, cost estimation, and demand prediction at PardonAI. • Assisted in the design and implementation of simple machine learning algorithms to enhance business operations across multiple locations. • Processed and reconciled large-scale operational datasets, ensuring data integrity through cleaning and standardization.

MSc Project: Built 'Lazuri', a native iOS app using SwiftUI, MVVM, and GameKit. Web: Engineered a scalable MERN social platform via Agile & CI/CD pipelines. Software: Created a Python console game using OOP and design patterns. Data: Optimized processing for >100GB datasets using distributed computing. Systems: Integrated DBMS with responsive frontends and researched computational learning systems.

* UX Research: Conducted qualitative and quantitative research to analyze user behavior. * Cognitive Psychology: Studied cognitive load to optimize information processing. * Behavioral Design: Applied motivation principles to user experience. * Visual Perception: Leveraged Gestalt principles for interface layout. * Data Analysis: Utilized SPSS/R for hypothesis testing and insights. * HCI: Focused on the psychological foundations of digital interaction.