Applied AI & ML
I focus on practical machine learning systems, AI agents, text/audio processing pipelines and intelligent applications that solve real problems.
Building applied AI products from idea to deployment.
I am a Computer Science Engineering student focused on Artificial Intelligence, Machine Learning, Computer Vision, Transformers, Vision Transformers and full-stack software development. I enjoy adapting to different technologies and turning technical ideas into complete, usable applications.
My work and learning path are centered on building useful AI-driven applications: from requirements analysis and documentation to backend, frontend, deployment and iteration with a team. I am especially interested in computer vision, transformer-based architectures, AI agents and responsible AI practices.
I focus on practical machine learning systems, AI agents, text/audio processing pipelines and intelligent applications that solve real problems.
I am particularly interested in computer vision, super-resolution, transformers, Vision Transformers and deep learning architectures for visual tasks.
I enjoy building complete products: Streamlit or React frontends, FastAPI backends, Python/Java services, Dockerized environments and deployment-ready workflows.
A mix of AI engineering practice, academic volunteering and previous roles that strengthened communication, responsibility and teamwork.
Working on AI-based applications and Gen-AI cloud-oriented projects, covering the full lifecycle from idea and requirements to documentation, implementation and iteration.
Supported speakers during international academic sessions, helped solve technical issues quickly and gained experience in event operations and networking.
Assisted speakers, supported technical session needs and collaborated in an international scientific environment.
Taught mathematics, physics, chemistry and statistics to high school and bachelor’s degree students, strengthening communication and explanation skills.
This section is designed to grow with GitHub repositories, demos, technical notes and hackathon work. These cards can later be connected to live demos and source code.
A self-hosted portfolio deployed on an Ubuntu VPS with Nginx, DNS configuration, domain management and SSL setup.
Experimental work around image super-resolution, robustness, deep learning and transformer-based visual architectures.
Applications integrating AI agents, text/audio processing, OpenAI APIs, frontend interfaces and backend services.
Space for hackathon projects, machine learning experiments, computer vision demos and applied AI prototypes.
A broad technical base across AI, software development, backend, frontend, systems and data tools.
A compact overview of my certifications and current language learning. Full certificate documents are available upon request.
Academic training in software engineering, computer systems, programming, mathematics, data, computer architecture and engineering foundations.
Beyond technology, I am interested in Japanese, German and Asian cultures, martial arts, padel and gastronomy. I value teamwork, discipline and communication.