This post explores vibe coding, swarm coding, workflow orchestration, and blockchain privacy, showing how humans and AI co-create code, evaluate models, and build decentralized, scalable, and agentic AI.
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
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
A no-code solution enables applications to communicate seamlessly with each other.
Feb 11
Python OOP
Object oriented programming accounts to one of an myriad of programming paradigms (imperative, functional, declarative, logic…). Hypothetically all can be present in a single program.
Feb 03
AI Usage
Running AI APIs and comparing Search with AI. Should we use AI or Google? RAG and RAGgraphs for more accurate responses.
Feb 08
PhD Tips
Doing a PhD is most times enjoyable. And it is even more, if one knows some life-hacks.
Aug 08
Methods in Reliability
I am describing below concepts in reliability the reader might find interesting to think about and realise. In reliability we focus on the probability of a system to operate without failure over a given period of time.
May 10
Reliability
Reliability, as an endeavor for equipment to function without failure. It is used in the industry for production and product improvement. Next to other methods, like Six Sigma.
Apr 05
Introductory post
I hope to create here a discussion point for participants, who are thinking about similar topics and would like to engage in a vibrant discussion.
Subscribe
Be the first to read what's new!