Available now for project engagements · Remote or on-site

DM Software Solutions

Freelance AI Engineer for LLM, RAG and Agent Systems in Production

Most AI projects don't fail because of the model. They fail on the way into production. As a full-stack AI engineer and certified business analyst, I close that gap: from requirements through architecture to running systems in the cloud.

My Services

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LLM, RAG & Agent Systems

RAG and Graph RAG pipelines, knowledge graphs on Neo4j, and autonomous agents over MCP/A2A. From architecture through to production operation.

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AI Strategy & Business Analysis

As a Certified Business Analyst, I translate business requirements into workable solution designs and assess AI approaches for economic viability and real-world fit.

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Full-Stack Development

Python/FastAPI, Java/Spring Boot, React, Angular, and Flutter. End-to-end ownership from the data model to the user interface.

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Cloud, MLOps & Automation

Kubernetes, Docker, Terraform, and CI/CD on AWS and Azure, plus low-code automation with n8n for lean processes.

Own Products

Products I designed, built, and shipped end to end, from architecture to operation. They are published under my product brand DMC App Studio. dmc-app-studio.com

Graph RAG / Automotive

Aspice Pro: AI Advisor for ASPICE

A production-ready AI advisor for the ASPICE domain built on a Graph RAG architecture. The domain is modelled as a knowledge graph in Neo4j and combined with vector retrieval to ground LLM answers, orchestrated by LangChain agents and served from a FastAPI backend on Kubernetes.

aspice-ai.com
PythonFastAPILangChainNeo4jGraph RAGKubernetes
Mobile / Consumer

Loomika: AI-Powered Learning App

A flashcard app built on the FSRS spaced-repetition algorithm with AI-generated card decks via Google Gemini. Local SQLite with real-time sync through Firestore, on-device text-to-speech, and an extensible plugin architecture for card types. Live on the Google Play Store.

View on Google Play
FlutterFirebaseGemini APIFSRSCI/CD

Professional Background

Employed and working-student positions, the technical foundation of my freelance work.

  1. 03/2024 – 04/2026

    Inverso GmbH

    AI Engineer & Business Analyst

    AI systems for enterprise insurance platforms: RAG and Graph RAG pipelines on pgvector, LLM-powered features, and autonomous agents over MCP/A2A, from architecture through to production. Drove the C5 certification of the AI platform and reached 99% availability; supported the cloud migration from Azure to AWS.

    JavaSpring BootLLMsRAGpgvectorKubernetesTerraformAzure/AWS
  2. 07/2023 – 02/2024

    Mercedes-Benz AG (via EDAG), Sindelfingen

    Software Engineer, Radar Perception

    C++ algorithms for radar point cloud segmentation and occupancy grid mapping on embedded real-time systems. Hardened the safety-critical codebase to ISO 26262 level through architectural patterns and quality gates.

    C/C++PythonBazelCoverityISO 26262Linux
  3. 04/2022 – 02/2024

    EDAG Group (Citybot project)

    AI/ML Engineer, Computer Vision

    High-performance C++ for LiDAR data processing with point cloud segmentation and object detection in ROS2. Built a sensor fusion pipeline (LiDAR, stereo vision, ultrasound) with ego localisation, including the test framework and CI/CD.

    C/C++PythonROS2DockerJenkinsgtest
  4. 10/2020 – 09/2021

    Inverso GmbH (working student)

    Data Scientist

    Researched and implemented modern ML concepts (graph neural networks, temporal convolutional networks). Designed and prototyped an error-handling system within an event-driven microservice architecture.

    TensorFlowPyTorchJavaKafkaRedis
  5. 2018 – 2019

    Volkswagen AG (internship)

    Driver Assistance / Environment Perception

    Integrated a scenario-sensitive reliability estimation method to improve the quality and robustness of environment perception, and evaluated system performance across different scenarios.

    C++ADTFLiDARMachine Learning
Dorian - DM Software Solutions

About Me

Hi, I'm Dorian. I build AI architectures that hold up in real-world use: RAG and agent systems that don't stall at the prototype stage but run in production. As a certified business analyst, I start from the business problem, not the model.

My academic foundation is an M.Sc. in Engineering Informatics from TU Ilmenau, with a focus on cognitive systems and system design. Professionally, my path led from computer vision and perception in the automotive industry to LLM, RAG, and agent systems in enterprise environments. Since October 2025 I have been building my own products under my own business, and since May 2026 I am available full-time for project engagements.

5+Years AI & ML
3+Years Automotive
3+Years Insurance

Certifications & Education

  • Certified Business Analyst · ibo Akademie (IIBA/IREB recognised, 2025)
  • Domain-Driven Design · Michael Plöd (2025)
  • iSAQB Foundation · Software Architecture (2024)
  • ISTQB Foundation · Testing (2024)
  • M.Sc. Engineering Informatics · focus on Cognitive Systems & System Design, TU Ilmenau

Start a Project

Looking for reinforcement on an AI or software project? I embed directly into existing teams, take end-to-end ownership, and get systems reliably into production. Available now, remote or on-site.

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