Dimitris Nikolaidis

Developed and deployed AI-driven models with TensorFlow increasing model accuracy by 15%, boosting user engagement and transaction volume by 20%. Built dynamic data-driven UIs with React and Next.js, integrating AI models to enable real-time content updates that reduced API load by 20% and increased platform speed by 15%. Designed personalized recommendation engines that enhanced user satisfaction by 15%. Led full-stack application development using React, Node.js, and PostgreSQL improving system API efficiency by 25%. Mentored junior developers and collaborated with design teams on AI-enhanced UI/UX improvements, resulting in increased platform interaction and mobile user engagement.

Built real-time fraud detection systems utilizing PyTorch and TensorFlow, reducing fraudulent transactions by 15%. Developed AI-based recommendation systems increasing daily active users by 12% and transaction volume by 10%. Implemented Redis caching and AWS cloud solutions to reduce latency by 25% and increase platform uptime by 15%. Collaborated on security enhancements and compliance, preventing security breaches. Led scalable frontend development using React and AWS, reducing operational costs by 20% and enhancing user engagement.

Designed real-time backend systems with Node.js and WebSocket for low-latency gameplay and data processing during peak usage. Developed machine learning models for player behavior prediction increasing user engagement by 25%. Optimized PostgreSQL database schemas enhancing data retrieval speed by 15%. Implemented automated CI/CD pipelines with Docker, reducing deployment times by 15% and improving scalability. Collaborated across teams to seamlessly integrate AI and full-stack systems improving product functionality and user experience.