Freelancer profile translated to English.
Back to original languageAbout Frederik
AI Engineer with a focus on productive Generative AI and LLM systems. Development of scalable backend services and integration of LLMs into real-world applications, including RAG, Prompt Engineering, Evaluation, and stable API-based architectures. Experience in building Voice and Conversational AI systems (STT/TTS), structured data extraction, and end-to-end workflows from prototype to production deployment.
Focus on AI Agents and Multi-Agent Systems, including orchestration of complex workflows, tool integration, and dynamic decision logic in production environments. Building robust systems with a focus on performance, stability, and traceable behavior.
Support from concept to implementation – with a focus on fast, functional solutions in a production environment.
German
Native or bilingual
English
Fluent
Russian
Fluent
Can work on-site
München (up to 50km), Burghausen (up to 50km)
Experience
- Frederik SchmittelAI EngineerSOFTWARE PUBLISHINGJanuary 2026 - Today (5 months)München, GermanyAI Engineer (self-employed) – Development of productive Generative AI and LLM systems with a focus on backend, agents, and voice applications. Implementation of end-to-end solutions from concept to production deployment. Building Voice and Conversational AI systems (STT/TTS) for automated request processing, including structured data capture and dialog management.Development and integration of AI Agents and Multi-Agent Systems for automating complex workflows and decision-making processes. Building scalable backend services, integrating LLMs into existing systems, and implementing robust, performant, and stable architectures for production use.
- Frankfurt Machine LearningAI Engineer & AI ConsultantCONSULTING AND AUDITSAugust 2025 - Today (10 months)Frankfurt am Main, GermanyI develop and operate productive AI systems with a focus on Computer Vision and Generative AI – from model training to deployment on edge and cloud infrastructures. I make architectural decisions regarding performance, scalability, and MLOps, and integrate the systems into existing software landscapes. Regulatory requirements (EU AI Act, GDPR) are considered from the outset in design and operation.
- Freiberufliche ProjektarbeitAI Engineer & Solution ArchitectE-COMMERCEApril 2025 - August 2025 (4 months)I designed and implemented a cloud-native GenAI platform for the automated analysis of company and startup documents (e.g., pitch decks). The focus was on a modular RAG-based AI pipeline including LLM integration, PEFT/LoRA adaptation, and containerized operation with CI/CD. Additionally, I evaluated feasibility, performance, and product maturity, deriving architectural and technology decisions from them.
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Education
- M.Sc.Technische Universität Darmstadt2024M.Sc.
- B.Sc.Julius-Maximilians-Universität Würzburg2020B.Sc.