Tomaž Bratanič
Senior Backend Developer at Gamanza Group AG
Slovenia
Summary
🤩
Rockstar🎓
Top SchoolTomaž Bratanič is a Senior Backend Developer with a decade of experience building scalable, high-availability systems across fintech and insurance, blending strong TypeScript/Node.js skills with cloud-native expertise in AWS, Kubernetes, Docker, and RabbitMQ. Trained as a financial mathematician, he brings quantitative rigor to system design and a practical track record shipping resilient services at companies like Gamanza Group and Adacta. An active open-source contributor and graph specialist, he has enhanced Neo4j graph algorithms and contributed Neo4j integrations to langchainjs, plus authored graph algorithm tooling and a book on GraphRAG. His projects span backend, database and full‑stack work—e.g., a LangChain + Neo4j + Ollama genAI stack with Streamlit UI and Docker orchestration. Known for solving complex retrieval and graph‑based problems, he pairs data-science curiosity with production engineering discipline. Based in Slovenia, he frequently bridges research-style prototyping and enterprise-grade delivery.
9 years of coding experience
3 years of employment as a software developer
Master's degree, Financial Mathematics, Master's degree, Financial Mathematics at University of Ljubljana, Faculty of Mathematics and Physics
English, Slovenian
Stackoverflow
6,399reputation
171kreached
413answers
18questions
cypher
top-5%
neo4j
top-1%
Github Skills (34)
algorithms10
graph-algorithms10
javascript10
docker10
python10
langchain10
data-science10
typescript10
graph-database10
dockers10
java10
neo4j10
javas10
cypher10
typescript-types10
Programming languages (14)
Github contributions (5)
tomasonjo/blogs
Aug 2019 - Jan 2023
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Role in this project:
Data Scientist
Data ScientistContributions:149 commits, 2 PRs, 305 pushes in 3 years 5 months
Contributions summary:Tomaž's initial commit introduces a Jupyter Notebook for graph data science blog posts, aligning with the repository's description and topics. Their subsequent commits focus on importing data into a Neo4j graph and performing data processing within a Jupyter Notebook environment, showcasing foundational skills in data analysis and database interaction. These activities demonstrate a focus on using graph algorithms for blog post support, specifically using Neo4j as a graph database.
graph-datascienceblog-postsdata-sciencejupyter-notebook
docker/genai-stack
Oct 2023 - Mar 2025
Langchain + Docker + Neo4j + Ollama
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:2 reviews, 12 PRs, 5 pushes in 1 year 5 months
Contributions summary:Tomaž primarily contributed to building a Streamlit-based application integrated with Langchain, Docker, Neo4j, and Ollama. They implemented the UI using Streamlit and integrated it with a backend utilizing Langchain for conversational retrieval. The user set up the Docker environment for the application, including the necessary dependencies. Furthermore, they incorporated a loading mechanism to import and index StackOverflow data within the Neo4j graph.
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