
Personal Statement
AI Engineer passionate about WebAppDev, Python, JavaScript, AI (RAG) and Statistics.
I'm a software engineer and researcher passionate about data science, AI, and full-stack development. With a strong foundation in mathematical modeling and hands-on experience in Vue.js, Python, cloud platforms (AWS, Azure), and AI tools, I build intelligent models that solve real-world problems. My journey spans academic research, industry roles, and international collaboration, always driven by curiosity and innovation.
Experience
AI Engineer – Webnode & Soap Payments · 2026–Present
Building and improving production AI features, agentic workflows, evaluation pipelines and LLM observability. Focused on reliability, context optimization and AI-assisted software development. Developed AI-powered application features and agentic workflows for US clients, with emphasis on production reliability, evaluation and cost-efficient LLM usage.
Python · FastAPI · N8N · React · TypeScript · Next.js · LLM APIs · RAG · AI Agents · Langfuse · LangChain · LangGraph · Docker · PostgreSQL · Supabase · GCP · AWS
AI Engineer – Rascasone · 2025–2026
Built a vision-based automated time-tracking application that captured and analyzed desktop screenshots using multimodal AI, analyzed screenshots to recognize activities and reconstruct users' working time. Evaluated model behaviour and improved prompts and internal AI tooling.
Python · FastAPI · React TypeScript · LLMs · OpenAI · GCP · PostgreSQL · Docker
Full-Stack Developer – Mandík, a.s. · 2024–2025
Developed production web applications across backend, frontend and database layers, including REST APIs, business logic and user-facing functionality.
Python · FastAPI · SQLAlchemy · PostgreSQL · Vue.js · TypeScript · REST APIs · GitLab
AI Research Assistant – University of Strathclyde + Intanify Ltd. 2023–2024
Researched AI methods for analysing and auditing intangible assets, including retrieval-augmented generation and knowledge-based AI systems.
Python · RAG · GraphRAG · LLMs · Embeddings · Data Analysis
Education/Academic qualification
Doctorate, University of Strathclyde, thesis: An investigation of estimation performance for a multivariate Poisson-gamma model with parameter dependency, Award Year: 2023
Engineer, Faculty of Mechanical Engineering, Brno University of Technology, Program: Mathematical Engineering, Award Year: 2017
Bachelor, Faculty of Science, Masaryk University, Program: Financial and Insurance Mathematics, Award Year: 2015
Fluent in English, German and Czech