Data / AI · Applied Generative AI
My primary focus is Data / AI, combining a software development background with training in Data Science and Artificial Intelligence.
I build practical projects that connect data, analytical methods and AI with business and operational decision-making. I also explore Generative AI as an application layer and Creative Systems as a complementary professional line focused on communication and reusable content workflows.
A curated portfolio covering Data Science, Machine Learning, NLP, Statistics, Business Intelligence and applied AI projects.
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A practical SQL project built around a star schema, staging workflow, dimensional modeling and analytical queries using synthetic data.
The technical portfolio also includes applied work in pharmacy operations, such as FarmaStock AI — Predictive Stock Optimization.
I use Generative AI as an extension of the technical work: building constrained, domain-specific systems rather than generic demonstrations.
One example is the FarmaStock Knowledge Assistant, a RAG-based assistant for pharmacy inventory knowledge using retrieval, source visibility and a deterministic workflow.
Creative Systems is a complementary professional line where I explore how Generative AI can support digital content, visual communication and reusable production workflows.
The portfolio contains Concept Projects created to demonstrate capabilities and systems thinking. They are not presented as client work or commercial results.
View Creative Systems Portfolio
My technical work combines Python, SQL, analytical modeling, machine learning and business intelligence with applied AI workflows such as retrieval systems, vector databases and LLM orchestration.
Across both technical and creative work, the focus is on the problem, the methodology and the system being built rather than on accumulating tools.