Welcome to my portfolio! I’m Martin, a final-year Computer Science and Engineering student at Ss. Cyril and Methodius University. My work bridges the fields of applied AI, data engineering, and research in automated machine learning. I enjoy solving open-ended challenges and building systems that combine intelligence, automation, and creativity.

• 🎓 Final-year BSc student in Computer Science & Engineering @ FINKI
• 🛠️ Focus areas: AI Engineering, Machine Learning, Deep Learning, AutoML, Data Engineering
• 🧠 Strong interest in GenAI applications for real-world problems
• 🔄 Actively combining engineering practice with academic research

Explored the use of transformer models in internal tools to improve automation and efficiency in telecom operations.

• Experimented with Hugging Face transformers and prompting strategies
• Focused on domain-specific adaptation and chatbot prototype integration

Institution: Macedonian Academy of Sciences and Arts (MANU)

• Researching practical applications of AutoML and scalable optimization methods in deep learning
• Working with CNNs and GNNs to explore model efficiency and experimentation workflows

Developing a supervised learning model to predict football match outcomes based on historical results and team performance statistics.

• Web scraping, data preprocessing, feature extraction, and model selection
• Evaluating accuracy and feature importance for real-world match prediction

Building a project based on Graph Neural Networks to explore structural data relationships.

• Applying GNN architectures on graph-structured datasets
• Focusing on representation learning and node classification tasks

Worked on the development of scalable data workflows and monitoring systems to support real-time insights for telecom infrastructure.

• Involved in building data pipelines and dashboards using open-source tools
• Focused on automation, reliability, and cross-database integration

• Created visualization tools to monitor infrastructure performance
• Integrated secure polling and automated alerting mechanisms for internal use

BSc in Computer Science and Engineering
Ss. Cyril and Methodius University – FINKI
Expected Graduation: 2026
Focus Areas: Machine Learning, Reinforcement Learning, AI, NLP, Software Engineering, CNNs, GNNs

• Languages: Python, SQL, Bash
• Frameworks/Libraries: Hugging Face, PyTorch, scikit-learn, Pandas
• Tools: Docker, Apache Airflow, Grafana, Git
• Concepts: MLOps, AutoML, Prompt Engineering, Data Pipelines

🚧 Please note: Some projects are not yet publicly available on GitHub due to internal or research-related constraints. Descriptions provided here are general and meant to highlight my role and contributions without revealing confidential details.

• Email: martin.stamenov03@gmail.com
• LinkedIn: linkedin.com/in/martin-stamenov-250ab5200

Feel free to connect or reach out – I’m always open to learning, collaborating, or discussing interesting AI ideas!