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Mickey
Szabo

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I build production-grade web applications, AI-powered systems and machine learning solutions across the full software development lifecycle — from LLM pipelines and RAG architectures down to the APIs, databases and interfaces that make them usable.

Isny im Allgäu, Germany
Portrait of Mickey Szabo

5+

Years building

LLM · RAG

AI Engineering

01 — About

Engineering AI that actually ships

I'm an AI Full-Stack Engineer with experience building production-grade web applications, AI-powered systems and machine learning solutions across the full software development lifecycle. My core stack is Python, TypeScript, React, Next.js and FastAPI, backed by cloud infrastructure and modern AI/LLM technologies.

I design scalable architectures, develop APIs and distributed systems, integrate large language models, and build RAG and agent-based systems that deliver reliable end-to-end applications. I'm comfortable working across frontend, backend, AI/ML, databases, infrastructure, testing and deployment — which means I can take an AI concept from prototype to something a business genuinely relies on.

My focus is on clean architecture, engineering quality, performance, scalability and practical AI integration — making model behaviour predictable enough for the real world.

  • Clean, scalable architecture
  • Reliable LLM & RAG pipelines
  • End-to-end product ownership
  • Cloud, CI/CD & infrastructure

0

Years of experience

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Companies delivered for

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Featured projects

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Technologies used

Currently

AI Full-Stack Engineer @ VLinde

Bavaria, Germany · 2024 — 2026

02 — Experience

Where I've built things

Five years of shipping AI-driven features and the full-stack systems around them.

AI Full-Stack Engineer

VLinde

2024 — 2026

Bavaria, Germany

  • Designed and delivered AI-powered solutions that transformed complex business requirements into practical workflows using LLMs, retrieval-augmented generation, intelligent automation and tool-based AI interactions.
  • Tackled challenging AI problems involving unstructured information, context retrieval, inconsistent model outputs and integration with existing business processes — focusing on making AI functionality reliable enough for real-world use.
  • Built AI pipelines connecting models with application data, external services and business logic, enabling AI systems to move beyond simple chat interfaces and perform useful actions within production workflows.
  • Evaluated and improved AI behaviour through prompt optimisation, structured outputs, retrieval strategies, testing and iterative model evaluation.
  • Designed the supporting full-stack architecture using Python, FastAPI, TypeScript, React and Next.js, connecting AI services with production-ready APIs, databases and user interfaces.
  • Worked directly with stakeholders to identify where AI could provide genuine business value, demonstrated working solutions, incorporated feedback and refined systems toward client expectations.
PythonFastAPITypeScriptReactNext.jsLLMsRAGAI Agents

AI & Full-Stack Engineer

SERVOKAT GMBH

2022 — 2024

Isny im Allgäu, Germany

  • Developed AI-driven application features focused on automating repetitive processes, extracting useful information and improving how users interact with business data.
  • Integrated LLM-based capabilities into existing software workflows, combining model reasoning with application context, structured data, retrieval and deterministic business logic.
  • Addressed reliability challenges in AI workflows by controlling model inputs and outputs, improving prompts and retrieval strategies, and introducing validation around AI-generated results.
  • Built intelligent automation workflows connecting AI services with backend systems and external APIs, turning AI capabilities into actionable business processes rather than isolated model responses.
  • Developed the full-stack layer supporting these AI systems using Python, FastAPI, React, Next.js, TypeScript and SQL-based databases.
  • Investigated failures across AI, backend, database and integration layers, identifying root causes and implementing fixes that improved overall stability.
PythonFastAPIReactNext.jsTypeScriptSQLAutomation

Software Developer

KORNHAAS

2021 — 2022

Isny im Allgäu, Germany

  • Identified opportunities to replace manual, repetitive workflows with AI-assisted solutions and designed practical automation around real business requirements.
  • Built AI-powered features using LLMs, intelligent information retrieval, structured generation and application-specific context to solve problems traditional rule-based software could not handle efficiently.
  • Designed AI workflows with a strong focus on accuracy, controllability and usability — balancing the flexibility of generative models with predictable application behaviour.
  • Connected AI capabilities to business systems through APIs, databases and custom application logic, letting users access intelligent functionality inside the existing product workflow.
  • Built the supporting frontend and backend using React, Next.js, TypeScript, Python and FastAPI.
  • Debugged complex issues spanning model behaviour, data pipelines, backend services, integrations and frontend workflows, taking ownership across the complete system.
ReactNext.jsTypeScriptPythonFastAPILLMs

03 — Skills

The toolkit

Filter by discipline — everything below is used in real, shipped work.

04 — Projects

Selected work & achievements

Click any card to read the full case study.

05 — Education

Academic background

Bachelor of Science (B.Sc.), Computer Science

University of Mannheim

2019 — 2023 · Mannheim, Germany

Computer science foundations in algorithms, software engineering, databases and machine learning — the groundwork for the AI and full-stack systems I build today.

Languages & focus areas

Machine Learning & Deep Learning
LLM & Generative AI Engineering
Full-Stack Web Development
Cloud & Infrastructure

06 — Contact

Let's build something intelligent

Open to AI and full-stack engineering roles, contract work and interesting problems.

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