Exploration

Research (ORCID)

My academic research focuses on advanced deep learning architectures, specializing in computer vision and generative AI. Specifically, my work investigates structural awareness and spatial consistency within Diffusion Transformers, Variational Autoencoders, and Virtual Try-On systems to improve parameterized synthesis.

Projects (GitHub)

My GitHub profile reflects a hands-on integration of research-driven machine learning and practical full-stack software development. On the AI and computer vision side, the repositories showcase generative pipelines, such as virtual try-on models implemented in PyTorch and automated image recognition applications utilizing C++ and OpenCV. This work is complemented by web-engineering projects, including responsive Next.js applications featuring robust API routes and relational database management handled via Prisma and MySQL.

Sports (Strava)

My Strava profile documents a strong commitment to endurance cycling and slow travel, focusing heavily on long-distance bikepacking and multi-day bike touring. The recorded activities reflect a systematic approach to route planning, physical conditioning, and outdoor exploration, translating a passion for cycling into adventurous journeys. It serves as a digital log of both regional training rides and demanding, self-supported gear treks across diverse terrains.