Emre K.

Architected a scalable React Native application, leveraging Redux and React Navigation to ensure seamless, multi-stack user experiences. Integrated 50+ RESTful APIs to drive core platform functionalities, including secure authentication, real-time ordering, and payment processing. Implemented native geolocation and dynamic multi-language support, enabling localized restaurant discovery and enhancing broader user accessibility. Designed and deployed AI agents for PMO workflow automation, streamlining daily operations and advancing human-AI collaboration in project tracking.

Tech stack: Next.js (React) · Redux + Redux Thunk · TailwindCSS · Axios · Node.js • Developed mobile-first web applications using Next.js, ensuring responsive design and maintainable architecture. • Integrated backend APIs and structured projects with dedicated folders for optimal organization. • Explored conversational interfaces and AI-chatbot integrations to enhance frontend capabilities. • Collaborated with cross-functional teams using Git for version control and Jira for task management.

• 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.

• Spearheaded daily operations and emergency response at a high-traffic aquatic facility with over 200 daily visitors. • Oversaw a team of lifeguards, ensuring efficient management and maintaining a flawless incident record. • Implemented cutting-edge safety protocols, achieving a 30% reduction in emergency response time.

MSc Individual Project: Created 'Lazuri', a native iOS digital well-being app using SwiftUI, MVVM, and Apple's FamilyControls and GameKit frameworks. Engineered a scalable social media platform using the MERN stack, Agile methodologies, and CI/CD pipelines for reliability. A console-based interactive game was created using Python and OOP principleand robust software design patterns. To optimize runtime performance, used distributed computing and parallel processing algorithms to manage large datasets (>100 GB). Comprehensive information architectures that integrate database management systems with responsive frontends. Interactive educational tool theories and computational learning systems were thoroughly studied.

UX Research: Conducted qualitative and quantitative research (interviews, surveys) to analyze human behavior. Cognitive Psychology: Studied cognitive load and attention span to optimize information processing. Behavioral Design: Applied principles of motivation and decision-making to user experience. Visual Perception: Leveraged Gestalt principles for interface layout and hierarchy. Data Analysis: Utilized statistical tools (SPSS/R) for data-driven insights and hypothesis testing. Human-Computer Interaction (HCI): Focused on the psychological foundations of digital interaction.

Graduate of prestigious bilingual institution with strong STEM and social science foundation, emphasizing academic excellence and leadership development.