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Machine Learning Research · AI Engineering · Consulting

Timo Feindor — AI & Data Engineer from Rosenheim

Timo Feindor

I design and operate AI and data systems — from LLM and RAG applications to production-grade MLOps pipelines. I am currently pursuing a PhD in Machine Learning at TH Rosenheim and advise companies as a freelance consultant on delivering their AI initiatives.

Timo Feindor — AI & Data Engineer from Rosenheim

01  About

I bridge research and practice: a deep understanding of machine learning combined with the experience to bring AI reliably into production systems.

As a Lead AI & Data Engineer I designed end-to-end pipelines for automated document booking and brought LLM and RAG applications into production on Azure Kubernetes (AKS) — including AI observability, MLOps and event-driven architecture.

Today I research machine learning methods as part of my PhD at TH Rosenheim, while supporting small and medium-sized companies as a freelance consultant in adopting AI in a meaningful and economical way.

02  Education

since 2026 PhD (ongoing) — Machine Learning TH Rosenheim · academic research
2025 · Grade 1.6 M.Sc. Computer Science — Applied AI TH Rosenheim Master’s thesis: Effective search in user manuals by generating individual solutions using artificial intelligence (Graph-RAG).
2021 · Grade 2.4 B.Sc. Business Information Systems TH Rosenheim Bachelor’s thesis: Proof of concept for introducing Jira into the on-premises software development of a mid-sized product company.

03  Projects & Highlights

LLM · RAG · Production

End-to-end document booking pipeline

Design and operation of an AI pipeline that captures and books documents automatically — via LLM/RAG applications on Azure Kubernetes, event-driven and fully observable.
Research · Graph-RAG

Graph-RAG for user manuals

Master’s thesis: a Graph-RAG approach that generates individual, context-accurate solutions from technical documentation — instead of merely finding passages.
MLOps · Observability

AI observability & MLOps

Building monitoring and traceability for AI systems with OpenTelemetry, Langfuse, Grafana and Prometheus — plus GitOps-based deployment on Azure.
Consulting · SME

AI integration for SMEs

As a freelance consultant I integrate data and AI applications into existing SME processes and optimise business models with pragmatic machine-learning approaches.

04  Technical Skills

Programming languages
  • Python
  • TypeScript
  • JavaScript
  • PHP
ML frameworks
  • PyTorch
  • TensorFlow
  • LangChain
  • LlamaIndex
Deployment & MLOps
  • Docker
  • Kubernetes
  • Azure
  • GitOps
  • GitHub
Databases
  • PostgreSQL
  • MongoDB
  • CosmosDB
  • Neo4j
Observability
  • Grafana
  • Prometheus
  • OpenTelemetry
  • Langfuse
Data Science & Analytics
  • scikit-learn
  • Pandas
  • NumPy
  • Apache Kafka
  • Jupyter
  • Matplotlib
Testing & Quality
  • pytest
  • unittest
  • BDD
  • Playwright
Methods & Leadership
  • Team Leadership
  • Agile / Scrumban
  • Event-Driven Architecture
  • Requirements Engineering

05  Experience

since Apr 2026

Research Associate / PhD Candidate

TH Rosenheim Research in machine learning as part of the PhD programme.
since Oct 2024

Freelance AI & Data Consultant

Self-employed Integrating data and AI applications into SME processes, optimising business models through machine-learning approaches.
Feb 2025 - Apr 2026

Lead AI & Data Engineer

Agenda Informationssysteme End-to-end document booking pipeline, LLM/RAG applications on AKS, AI observability, event-driven architecture and NoSQL design (CosmosDB, MongoDB, Neo4j).
Oct 2022 - Sep 2024

Co-Founder / Authorised Officer / Software Consultant

Coding 9 GmbH Strategic company management and team recruitment, full-stack e-commerce solutions (React, Node, Docker), project and requirements management.
Feb 2019 - Sep 2022

Working Student

Agenda Informationssysteme Analysis, design and maintenance of commercial software solutions (Delphi), unit testing and integration of new features.