AI Engineer specializing in generative AI and computer vision solutions. Led development of image generation systems, biometric authentication, and large-scale diffusion models. Architected robust Python backend services and monitoring pipelines for production AI systems. Expertise spans text-to-image models, facial recognition, ID verification, and MLOps infrastructure optimization.

Full-Stack Engineer with strong academic foundation in AI/Deep Learning, complemented by hands-on industrial experience in scalable cloud-based systems. Gained comprehensive product development lifecycle experience while pursuing studies in AI:Backend Architecture: Built robust microservices using Java/Spring and Node.js, translating academic knowledge of distributed systems into practical cloud deployment patterns. Implemented MVC architecture for high-throughput applications.Data Infrastructure: Applied data engineering principles through Redis and MySQL implementations, bridging theoretical understanding with real-world data pipeline design. Utilized RabbitMQ for distributed message processing.Frontend Development: Developed responsive React applications in TypeScript, gaining full-stack perspective while maintaining focus on AI/ML academic pursuits.This experience provided valuable insights into enterprise software development lifecycle, complementing academic AI expertise and laying foundation for later AI engineering roles.