AI Engineer • Statistician & Data Scientist • Software Developer

I’m a developer & researcher passionate about building intelligent systems that bridge the gap between theory and real-world applications.
Worked on TimeFlow - AI Time Tracking. My journey started in financial and insurance mathematics, evolved into mathematical engineering,
and culminated in a PhD on Poisson–gamma modeling with dependency in the prior parameter. Worked in an AI projekt with RAG and depeloped Web Applications. My Menu translating App is featured by the Brno Expat Centre as a Useful App.

I combine mathematical rigor with software engineering to craft AI systems that actually work — not just in theory.

• AI + Vector Databases — building retrieval-augmented generation (RAG) pipelines
• Multimodal Knowledge Bases — integrating images + text for better context understanding
• OpenAI API & LLMs — using large language models for reasoning, summarization, and search
• Python & TypeScript — developing end-to-end applications from backend logic to web interfaces

Languages:
Python • TypeScript • Matlab • R

AI & Data Science:
StatsModels • TensorFlow • PyTorch • scikit-learn • LangChain • HuggingFace • Flowise • n8n • transformers.js • Gemini API • OpenAI API • Mistral API • Pandas • NumPy

Databases & ORM:
PostgreSQL • MySQL • SQLite • SQLAlchemy • Alembic

Tools & Web Frameworks:
Jupiter notebook • FastAPI • Flask • Django • Node.js • Express • Vue.js • Vuetify • React • Next.js

• 📷 Multimodal RAG Pipeline — Store and retrieve images + text in a vector database, then reason with Mistral.
• 📚 Academic Research Tools — Statistical modeling for Poisson–gamma processes.
• 🤖 Flowise Experiments — Multi-agent AI workflows.

To create AI systems that are:

1. Grounded in mathematics 🧮
2. Engineering-ready ⚙️
3. Human-usable 🤝

LinkedIn • blog • YouTube

"Turning complex mathematics into practical AI — one vector at a time."