AI Engineer & Mathematician specializing in RAG systems, NLP, and prompt engineering with a strong foundation in mathematical analysis.

I'm an AI Engineer with a mathematical background, currently developing RAG systems and NLP solutions at Borah Digital Labs. With an ongoing M.Sc. in Applied AI & NLP and completed Master's in Mathematics, I bring theoretical understanding and practical implementation skills to AI projects.

My technical strengths include prompt engineering, context optimization, reranking model implementation, and AI evaluation methodologies. I've developed specialized library for PDF processing using machine learning and created comprehensive benchmarks and visualizations to validate AI system performance.

Before my focus on AI, I worked as a Frontend Software Engineer, leading a team of developers and building applications, which provided me with a solid foundation in software development principles and teamwork.

I'm proficient in Python, PyTorch, Transformers, and various data science libraries (Pandas, NumPy, Matplotlib). My mathematical background allows me to approach AI problems with analytical depth, while my multilingual abilities (Italian, Slovenian, English, Spanish) enable effective communication in diverse teams.

My ideal role would involve solving complex AI challenges, particularly in NLP, RAG systems, or LLM applications, where I can combine mathematical thinking with practical engineering to create innovative, high-performance solutions.