FastAPI Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used FastAPI
David Onaiyekan
Last position:
Research Intern at Pattern Recognition Lab
- Spearheaded the integration of a custom Transformer-based encoder into the AFFGANwriting pipeline, replacing the legacy VGG19 architecture to capture richer, high-fidelity writer-style representations.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
- Enhanced OCR performance by 20% by implementing a teacher-student framework that leveraged a TrOCR benchmark model for auxiliary training alignment
Partha Nandi
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Arun Sai Thunga
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Ralph Navasardyan
Last position:
AI Lead Engineer Car Configurator for leading German premium manufacturer at e-ntegration GmbH
- Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
- Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
- Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools
Uddipan Basu Bir
Last position:
Research Team Member at Munich Music Labs, TUM
- Focused on exploring the intersection of Music and AI.
Ashmi Jha
Last position:
Software Developer at Myrix Labs
- Engineered high-performance APIs with FastAPI + MongoDB, integrating live weather data (NOAA, NWS).
- Developed an AI chatbot with OpenAI APIs — context-aware by location, profession & interests.
- Created admin dashboard APIs for real-time monitoring and zero-downtime configuration.
- Integrated Stripe Embedded Payments with secure transactions & subscription management via webhooks.
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Samuel Arapoglu
Last position:
Bachelor thesis 'Development of an AI-based assistant system for personalized competence development for IT professionals' at N-ERGIE
- Design and development of an AI-based assistant system for targeted identification and closing of knowledge gaps in software development at an energy provider
- Technology stack:
- Vector database (Qdrant Cloud)
- RAG for semantic document analysis
- FastAPI backend to process user requests
- Integration with an LLM (e.g., OpenAI)
Torben Möller
Last position:
Solution Architect (Volunteer) at Stop The Traffik
- Designed 3 architectures to determine the most cost-effective solution regarding customer requirements
- Created the production and test environments from scratch
- Tech Stack: AWS (Serverless, CI/CD), GitHub
Discover over 15,000 top freelancers
Statistics of experts using FastAPI
Aggregated from the professional profiles of matched freelancers.
Experience
9 years (Germany: 12 years)
Position duration
1.3 years (Germany: 1.8 years)
Positions per freelancer
7 (Germany: 8)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Research and Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
90% (Germany: 72%)
Certifications per freelancer
4 (Germany: 2)
Most common languages
German, English, Hindi
Speak two or more languages
100% (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 Nuremberg 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 Nuremberg 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 at a glance
FastAPI is a Python web framework for building APIs with clear schemas, automatic docs, and strong type hints. Companies use it for internal services, public APIs, backend slices, and data-driven applications that need speed and structure.
What specialists deliver
- REST APIs and async endpoints
- OAuth2, JWT, and other auth flows
- OpenAPI-based documentation
- Pydantic request and response models
- Service integrations and background tasks
Core stack
Strong FastAPI professionals work across Python, Starlette, Pydantic, Uvicorn, and ASGI patterns. They also understand SQLAlchemy, PostgreSQL, Redis, Celery, and testing tools such as pytest. That mix matters when an API must stay clean under real load.
When to bring in help
Teams usually look for freelance FastAPI expertise when a new API must launch quickly, an older Flask or Django service needs a modern API layer, or an async path needs to be designed well. It is also common for short-term support on bug fixing, reviews, and release hardening.
Signs you need it
- Endpoint logic is growing hard to maintain
- Validation or schema design is inconsistent
- Async work is causing confusion
- Tests and docs lag behind the code
- Your team needs help with dependency injection or service structure
Nuremberg projects
In Nuremberg, FastAPI experts often work with software teams that need tight coordination with product, data, and operations. Some work on-site when workshops or system handover are important, while many tasks fit remote delivery if communication and code review are clear. English is common in technical work; German helps when business stakeholders are local.
Frequently asked questions
Before you brief your next project: the most common questions about FastAPI.
FastAPI is used to build Python APIs, backend services, and lightweight application layers that need clear request validation and automatic docs. It fits public-facing endpoints, internal services, and data apps where speed and readability matter. Teams often choose it when they want modern Python without heavy framework overhead.
FastAPI is usually chosen when API design, type hints, and async support are central to the work. Flask is simpler and more open-ended, while Django is broader and heavier because it includes more built-in web features. If the project is API-first, FastAPI often gives a cleaner fit.
A strong FastAPI specialist should know Python well, especially typing, dependency injection, and testing. In many projects, SQLAlchemy, PostgreSQL, Redis, background jobs, Docker, and cloud deployment also matter. For production APIs, security and observability skills are important too.
A small internal API may only need one focused FastAPI specialist for setup and delivery. A larger platform usually needs someone who has handled async code, auth, database access, and testing in production. The more integration points you have, the more valuable real project experience becomes.
Yes. FastAPI work is often easy to run remotely because most tasks live in code, tests, API specs, and pull requests. For Nuremberg-based teams, remote collaboration works well when there is a clear owner for decisions and review. On-site time helps most during kickoff, workshops, or handover.
Ask what kind of FastAPI systems they have shipped, how they handle validation and async work, and how they test APIs. Also ask whether they have worked with auth, background jobs, and deployment in a real team setting. Good answers are specific and tied to past delivery, not theory.
Look for clean endpoint design, strong schema definitions, clear error handling, and tests that cover the important paths. Good FastAPI work also includes readable docs, sensible module structure, and code that is easy to extend. If the specialist can explain trade-offs plainly, that is usually a strong sign.
Yes, FastAPI is a very common choice for both. It works well for small services that need to stay focused, and it also fits internal APIs that connect product, data, and operations teams. The key is to keep service boundaries clear and avoid turning one service into a crowded monolith.
The average hourly rate of freelancers in Nuremberg, Germany who have used FastAPI in their recent projects is 63 €, which corresponds to a daily rate of about 502 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used FastAPI in their recent projects, 100% hold at least a Bachelor's degree and 90% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used FastAPI in their recent projects have 9 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Nuremberg, Germany who have used FastAPI in their recent projects are German (100%), English (100%), and Hindi (30%).
The most common industries among freelancers in Nuremberg, Germany who have used FastAPI in their recent projects are Information Technology (100%), Manufacturing (50%), and Automotive (30%).
The most common business areas among freelancers in Nuremberg, Germany who have used FastAPI in their recent projects are Information Technology (100%), Product Development (90%), and Research and Development (80%).
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.
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