MSc Information Systems · University of Zurich
Patrik
Valach
I build agentic AI, data pipelines, and knowledge-graph systems. My background runs from enterprise data teams and medical-AI research to co-founding an investor-backed fintech startup.
- patrik@patrikvalach.com
- github.com/ValachPatrik
- linkedin.com/in/patrik-valach
- Zurich · Slovak (EU) national
Experience
Professional experience
Software Engineer · Co-founder
- Co-founder of a B2B fintech startup venture.
- Leader of software development.
- Secured pre-seed investment for development of infrastructure.
- Development of custom fintech systems, vision was to use our investor-entrusted projects as base running revenue and demonstration track record to then attract new customers from the Frankfurt financial hub, focusing on certifications, reliability and long life-cycle that would foster client retention and satisfaction.
- Investor-supported project included architecting and development of a digital wallet and prepaid card payment system with physical POS vendor support and cryptocurrency integration.
- Wound down following co-founder's pivot.
Werkstudent · Data Scientist
- Team-designed and ran an internal AI hackathon centred on knowledge graph exploration, generating 9 project proposals across 3 participating departments with 40 participants.
- Engineered end-to-end AI prompt pipelines and complex regex transformations for a media data architecture processing 50k+ product records, reducing manual transformation effort by ~97%.
- Benchmarked 21 transformer-based text and image embedding models (Sentence-BERT, CLIP variants, …) for cross-article mapping, improving match accuracy by ~56% vs. rule-based system.
- Partnered with 2 business departments to define data KPIs and produce technical documentation, enabling self-serve analytics for non-technical stakeholders.
Education
MSc Informatics
Major in Information Systems, minor in Informatics. Current grade 5.3iSwiss scale · 6.0 best · 4.0 to pass.
BSc Information Engineering
Computer Science and Management, focus on Data Engineering, LLMs, and ML. Grade 2.2iGerman scale · 1.0 best · 4.0 to pass, ranked 7th of 51 in the cohort.
Erasmus+ semester at the Arctic University of Tromsø (UiT), Norway.
English Bilingual Gymnasium
Exchange year at Bundesrealgymnasium Neusiedl am See, Austria.
Publication
Research
Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering
2025 · TU Munich, Professorship of Data Engineering · Co-authored, volunteer research
- Built a verifier for natural-language-to-SPARQL translations, trained on synthetic LLM-generated data, for robust question answering over knowledge graphs.
- Designed a reverse-translation LLM pipeline that generates NL↔SQL training pairs from human examples.
Selected projects
MSc project · full-stack digital therapeutics
- Integrating wearable sensor data with phase-aligned, interactive health dashboards.
- Built an MCP-based AI assistant so patients can query their own health data through an agentic interface.
- Running end-to-end user studies on usability and clinical utility.
- Python
- FastAPI
- React
- MCP
- Wearable APIs
- Local AI
Event Crowdfunding DApp
2026UZH · Blockchains & Overlay Networks
- Crowdfunding platform on Ethereum Sepolia with ERC20 mechanics and a multi-contract architecture.
- Solidity contracts plus an off-chain oracle for deadline enforcement.
- Live with 35+ CI/CD releases on Vercel, IPFS for storage.
- Solidity
- ethers.js
- IPFS
- Ethereum
- React
- CI/CD
UZH · Network Science
- Scraped 16,400+ articles from NZZ.ch and ZEIT.de with full author and relational metadata.
- Built multi-layer co-authorship and citation graphs in Supabase.
- Used Louvain clustering, centrality, and assortativity to surface community structure and editorial organisation.
- Python
- NetworkX
- Selenium
- Supabase
- Plotly
SEET Match
2025Crisis Apps Hackathon · mentor matching
- Designed the architecture and a 5-dimension scoring pipeline (academic, language, geography, age, gender).
- Matches refugee students with Swiss mentors for the SEET NGO.
- TypeScript
- Python
- React
- REST API
- Optimisation
Legal Vantage
2024Graph-RAG legal Q&A system
- Graph-based RAG over legal documents, combining a Neo4j graph with a Nano vector store.
- Python API backend with agentic generation and semantic indexing.
- LightRAG
- Neo4j
- FastAPI
- Graph-RAG
- Docker
Technical skills & tools
- Python
- TypeScript / JavaScript
- SQL
- SPARQL
- Solidity
- React
- Next.js
- Deno
- Node.js
- Neo4j
- PostgreSQL
- MongoDB
- Snowflake
- Supabase
- LLMs
- MCP
- RAG
- LangChain
- Ollama
- Cursor
- Claude Code
- TensorFlow
- PyTorch
- PySpark
- Scikit-learn
- Pandas
- NumPy
- Hugging Face Transformers
- SentenceTransformers
- Git
- Docker
- Databricks
- Apache Kafka
- Jira
- Agile / Scrum
- Project Management
- Technical Documentation
- Stakeholder Management
- Team Leadership
Languages
- EnglishFluent · C1
- GermanFluent · C1
- SlovakNative
- CzechFluent · C1
Get in touch