Hi, I'm Narek Mosisian

Welcome to my website.

I build AI/LLM-focused software systems, backend services, and full-stack web applications.

My current focus is on reliable RAG-based applications, document chatbots, Python/FastAPI backends, LLM evaluation workflows, observability, and production-oriented deployment.

Alongside my Computer Science studies at HTWK Leipzig, Germany, I work on practical software projects that connect backend engineering, modern web development, and applied AI systems.

My main technical focus is the llm-reliability-platform, an active production-oriented LLMOps/RAG project designed to demonstrate document upload, chunking, embeddings, vector search, cited answers, an LLM gateway, provider routing and fallback, token and cost tracking, evaluation gates, observability, security notes, runbooks, and live deployment.

Another important AI-related project is CCC – Cost Calculation Chatbot, an award-winning university team project based on Knowledge Graphs, RDF/SPARQL, LangChain, and Qanary. The project received the Best Semantic Web Poster Award 2026 at the Leipziger Semantic Web Tag.

I also built Hainstreet, a full-stack web platform with private domain spaces, authentication, structured membership flows, subscription-oriented product logic, and deployment-ready infrastructure.

Current focus

  • •RAG-based AI assistants with citations
  • •Python/FastAPI backend systems
  • •LLM gateways, provider routing, and fallback handling
  • •LLM evaluation, cost tracking, and reliability workflows
  • •Document processing, embeddings, and vector search
  • •Docker-based deployment, monitoring, and observability

If you are looking for support with AI/LLM prototypes, document chatbots, Python automation, backend systems, or full-stack web applications, feel free to reach out via the contact page. A short description of your project or current problem is enough and I will get back to you promptly.

Education

B.Sc. Computer Science

HTWK Leipzig - Leipzig University of Applied Sciences · Leipzig, Germany

October 2022 - Present

My Computer Science studies provide the foundation for the systems I build today: software engineering, web engineering, databases, data warehousing, internet-based information systems, question answering, chatbots, and applied AI-related workflows. I am especially interested in turning these foundations into maintainable backend systems, RAG applications, and production-oriented full-stack products.

Experience

Working Student Software Development

IQVIA · Working Student · Remote

December 2023 – March 2026

In my working student role, I contributed to the maintenance and further development of an existing C++ application landscape in a professional software environment. The work strengthened my practical understanding of mature codebases, debugging with Visual Studio, development testing, technical documentation in Jira, and collaboration in established engineering workflows with tools such as GitLab and Jenkins.