FastAPI Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used FastAPI
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Ljubomir Obrenovic
Last position:
Senior Software Test Engineer at Keil KTM GmbH
Temporary employment
- System black-box integration tests (BBIT, IVVQ): Execution of regression, release, acceptance, and compliance tests for safety-critical brake control units in the rail industry
- Software test application & integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies, and component interactions
- Test automation (FEAT framework): Co-development and further development of an automated test framework for test execution, reporting, and result analysis
- Functional safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage, as well as standards compliance according to EN50126/28/29
- Test automation for communication components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
- Requirements analysis & shift-left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities, and redundancies early in the SDLC
- Test design & test case development: Derivation of test conditions, coverage strategies, and implementation of data-driven test cases (DDT), including reusable test data fixtures
- CI/CD & automation (Python, PowerShell, Jenkins, SVN): Automation of build, test, and HIL deployment processes as well as integration into CI/CD pipelines
- Test data & configuration management (XML): Maintenance and adaptation of XML test vectors and system configurations with automated integration into test environments
- Non-functional testing: Execution of performance and load tests to assess stability and system behavior
- Agile development & defect management (JIRA, Confluence): Participation in Scrum teams, test coordination, review of test artifacts, as well as defect tracking and root-cause analysis
- Error analysis & debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system layers (application to bus)
- Model-based analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
- Process & test documentation: Creation of integration and test documentation according to internal quality and certification requirements
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Any-Arlene Niyubahwe
Last position:
Co-Founder · Data Engineering & Backend at zirikana (Kirundi Bible Web App) – Civic Technology
- Built a Python pipeline that converts lectionary web content into structured daily JSON, applying liturgical-calendar rules for accurate weekday and Sunday coverage.
- Shipped a read-only FastAPI REST API with shared Pydantic models and delivered a Kirundi-first web client for browser and mobile use.
- Owned the data layer and backend architecture, collaborating closely on system architecture and interfaces while automating refreshes with GitHub Actions and validating the ETL with pytest.
- Impact: Created a reliable, API-driven source of truth for daily Bible readings in Kirundi, enabling consistent access to previously unstructured content.
Michael Thomas
Last position:
Senior Freelance Software Engineer — Enterprise Software & Data Projects
- Delivered backend systems, data processing solutions, and software integrations for enterprise business applications.
- Designed and implemented API-based services connecting internal platforms with external systems.
- Built automated processing workflows to handle large-scale structured business data.
- Improved application performance by 30–50% through database optimization, caching strategies, and backend refactoring.
- Reduced manual operational effort by 40–60% by automating repetitive workflows.
- Supported production environments through troubleshooting, monitoring improvements, and continuous optimization.
- Authored technical documentation and led knowledge-transfer sessions to support long-term maintainability.
Matthias Lamsfuss
Last position:
Full Stack & AI Engineer at Elephant Technologies
Loom and Bloom
Python · TypeScript · n8n · Claude Code · Whisper · Gemini · Supabase · Notion · HubSpot · Digital Ocean
- Built an end-to-end content pipeline: one Loom video → marketing images, bilingual LinkedIn posts, newsletter and Help Center updates.
- n8n webhook → SSH → Claude Code session on a Digital Ocean VPS; three MCP servers (video, Notion, Supabase).
- Whisper word-level transcription, ffmpeg screenshots, Gemini UI annotation, PIL device mockups.
- Next.js upload UI plus a bilingual newsletter composer with HubSpot push.
Thomas Langer
Last position:
Consultant for AI-driven process automation at Lumiz
AI-driven automation of purchasing on a printing company's website, including selecting delivery times, order options, ordering, payment, and uploading print data from the Lumiz Cloud.
Siegfried-Thor Bolz
Last position:
AI Solutions Architect & Developer at E-Commerce
- Integrated LangChain middleware between AEM and SAP PIM system
- Developed a FastAPI interface for system communication
- Implemented vector embeddings for semantic product search
- Evaluated LLM models (Vertex AI/Gemini, LM Studio, Hugging Face, OpenAI) for product analysis
- Developed an AEM component to display product recommendations and integrated the recommendation API into the AEM authoring process
- Designed and implemented Pinecone vector database for product embeddings
- Optimized response times and caching strategies
- Evaluated Vertex AI Studio for LLM testing and prompt workflows
- Implemented secure API routing and access control for AI components via FastAPI and gateway validation
Azadeh Tavassoli
Last position:
AI Engineering Fellow at Turing College
- Completed an intensive AI Engineering Program focused on LLM evaluation, retrieval, agent orchestration, and multimodal workflows.
- Designed retrieval pipelines with document ingestion, semantic search, and citation-aware outputs using LangChain and ChromaDB.
- Built LangGraph-based agent workflows with state handling, clarification loops, and human-in-the-loop approval steps.
- Applied prompt engineering and evaluation patterns, including scoring logic and guardrails, to improve output quality and reliability.
- Worked extensively with Python, FastAPI, OpenAI APIs, LangChain, LangGraph, and ChromaDB in end-to-end implementations.
Christian Schulz
Last position:
Data-Scientist/AI Engineer at The Marcom Engine GmbH & Co. KG
- Concept creation and implementing AI Agents in AWS Cloud
- Continuously alignment with stakeholders
- Collaborate with DevOps
- Technologies: Git, CI/CD (GitHub Actions), Python/ML, Streamlit, Deno/typescript, AWS SAM, AWS Bedrock, AWS Lambda, AWS Dynamo DB, AWS S3, AWS Event Bridge etc.
Nurbüke Teker
Last position:
Working Student – Software Engineer at Rohde & Schwarz
- Developing software tools within the EICACS program (LDACS project) supporting secure avionics communication.
- Built Python-based automation and monitoring services to validate AI components under Trustable AI guidelines.
- Designed CI/CD and test pipelines improving reproducibility and reliability across teams.
Clarissa Heinemann
Last position:
AI Trainer at Komdis GmbH
- Led comprehensive AI workshops for professionals, focusing on AI-driven process automation.
- Tech Stack: n8n, Make, LLMs (OpenAI, Anthropic), Prompt Engineering, Process Mapping Tools.
Stephan Sahm
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Stephan Baier
Last position:
Freelance Data Scientist at Baier Data & AI Consulting
Oussama El Allam
Last position:
Head of R&D at eXagotec GmbH
- Spearheading multidisciplinary engineering teams in the development of next-generation medical devices
- Orchestrating research initiatives and technology roadmaps to deliver innovative medical solutions
- Overseeing R&D budget and managing project portfolios from concept through to commercialisation
- Establishing strategic collaborations with clinical partners for technology validation
Discover over 15,000 top freelancers
Statistics of experts using FastAPI
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 12 years)
Position duration
2 years (Germany: 1.8 years)
Positions per freelancer
11 (Germany: 8)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
96%
Master's degree or higher
84% (Germany: 72%)
Doctorate
16% (Germany: 8%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
96% (Germany: 97%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using FastAPI
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
FastAPI in practice
FastAPI is a Python framework for building APIs with clear types, automatic docs, and strong performance. Companies use it for internal services, public endpoints, and backend layers that need clean contracts and fast delivery.
What specialists deliver
- REST and JSON APIs for products and integrations
- Async services for high-concurrency workloads
- OpenAPI documentation and request validation
- Auth, permissions, and dependency design
- Integration with databases, queues, and third-party services
Ecosystem and tools
Strong FastAPI specialists work across Python 3, Pydantic, Starlette, Uvicorn, and common test tools. They also handle packaging, Docker setups, observability, and CI checks so the service is ready for real use.
When companies bring in help
Teams often need freelance FastAPI expertise when a backend must ship quickly, a Flask or Django API needs a cleaner structure, or an existing service becomes hard to maintain. In Munich, this is common for product teams that work with local enterprise systems, B2B software, and data-heavy workflows.
What strong specialists do
Good professionals write clear request models, keep endpoints small, and separate domain logic from transport code. They test edge cases, handle async behavior carefully, and make sure the API is easy to extend without breaking clients.
How to choose the right fit
Look for experts who can explain tradeoffs in Python web design, not just write endpoints. Ask for examples of API versioning, error handling, and deployment work. If the project needs remote collaboration, strong English communication matters; if on-site work is needed in Munich, plan for close work with product and backend teams.
Frequently asked questions
Not sure where to start with FastAPI? These answers cover the essentials.
FastAPI is used to build APIs and backend services in Python. It fits product backends, internal tools, integration layers, and services that need clear request and response models. Teams also use it when they want automatic API docs and strong validation from the start.
FastAPI is often chosen when the main goal is an API-first service with type hints, validation, and built-in OpenAPI support. Flask is lighter but leaves more decisions to the team, while Django brings a larger full-stack framework. The right choice depends on whether you need a focused API layer or a broader web stack.
A strong FastAPI specialist usually knows Python well, plus Pydantic, Starlette, async programming, and API design. Database access, testing, Docker, and deployment basics matter too. For real products, experience with authentication and observability is also valuable.
FastAPI projects can be small, but production systems need more than basic endpoint writing. Look for someone who has handled validation, error handling, auth, testing, and deployment. If the service is business-critical, you want a specialist who has shipped and supported production APIs before.
FastAPI work fits remote collaboration well because the code, API contracts, and tests are easy to review online. On-site time in Munich can help when the project depends on close work with local teams, stakeholders, or complex legacy systems. Many companies use a mixed setup.
With FastAPI, you should expect more than endpoint code. Typical deliverables include API routes, request models, authentication flows, tests, OpenAPI documentation, and deployment support. A good specialist also leaves the codebase structured so the team can extend it safely.
A strong FastAPI expert writes clean, typed code and explains why the structure works. Look for careful use of dependencies, clear validation, sensible async handling, and tests that cover real edge cases. Good communication matters as much as code quality, especially when the team needs to maintain the API later.
If your FastAPI service is growing fast, the code is getting hard to navigate, or API changes keep breaking clients, it is time to bring in help. The same applies when a Python backend needs better structure, more reliable tests, or a cleaner integration with databases and external services. A specialist can stabilize the base before it becomes costly to change.
The average hourly rate of freelancers in Munich, Germany who have used FastAPI in their recent projects is 98 €, which corresponds to a daily rate of about 781 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used FastAPI in their recent projects, 96% hold at least a Bachelor's degree, 84% hold at least a Master's degree, and 16% hold a doctorate.
On average, freelancers in Munich, Germany who have used FastAPI in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used FastAPI in their recent projects are German (96%), English (96%), and Spanish (22%).
The most common industries among freelancers in Munich, Germany who have used FastAPI in their recent projects are Information Technology (93%), Manufacturing (52%), and Automotive (41%).
The most common business areas among freelancers in Munich, Germany who have used FastAPI in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (74%).
Main locations of FRATCH Experts, who have recently used FastAPI
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Cologne 
Frankfurt 
Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
