Bachelor Thesis: Deep learning project to optimize and forecast public transportation usage through a digital twin system. Presented at Coperman 2025 Conference (to be published by Springer in 2026).

SE Internship project: Containerized web application with Redis and MongoDB databases, deployed to both AWS and Minikube. Integrated a data science dashboard for real-time data visualization and tournament analytics.

Bootcamp: Completed a self-learning and mentorship-based training program at EPAM for 4 months. Actively participated, developing practical experience in Amazon Web Services, Terraform, Kubernetes, CI/CD, SDLC, Agile and Generative AI.

Freelance project to deploy an open-source enterprise generative AI platform to AWS using Terraform. Infrastructure as Code approach for scalable AI agent deployment.