
REST API Experts in Berlin
matched in minutes from over 15,000 CVsHire experts who design resource-based interfaces, connect web and mobile applications, and secure API integrations with OAuth 2.0, OpenAPI and cloud services. FRATCH finds a precise match among vetted, available freelancers quickly.
Meet FRATCH Experts in Berlin, who have recently used REST API
Stefan O.
Last position:
Founder at ProtocolEngine.io
Evidence-led health intelligence platform turning published research into personal health protocols. It scores 430 habits, foods, and supplements against the studies behind them, and moves the score when the evidence moves. Built solo.
- Built the daily ingestion pipeline across PubMed, bioRxiv, and medRxiv: 43,000+ papers from 3,400+ journals processed into 230,000+ typed evidence claims, each one traceable back to the study it came from.
- Designed the six-factor evidence scoring model and the public changelog behind it, so no recommendation ever appears without the papers underneath it. 23,000+ grade changes recorded and explained to date.
- Shipped an entity information model connecting every intervention to its mechanisms, biomarkers, and outcomes: 118 biomarkers with region-specific reference ranges, 77 mechanisms, 32 graded outcomes.
- Built the personalisation layer: blood panel ingestion that reads lab PDFs with a vision model and corrects results for draw time against the user's wake anchor, plus Oura, WHOOP, and Withings integration for daily readiness context.
- Operate eleven specialised review agents over the corpus and codebase, covering paper curation, retrieval quality, health-claim compliance across EU and US regimes, and security.
- Shipped the Evidence Assistant, a RAG assistant that answers from the claim database and cites the underlying papers, plus a B2B practitioner tier, an Expo React Native app, and localisation across 3 languages and 7 markets.
Stack: Next.js 16, TypeScript, Supabase, pgvector, Anthropic Claude, Vercel, DeepInfra.
Sascha B.
Last position:
Web Developer at GxPlex
- Built a customized MediaWiki instance, including installation, MySQL database, SSL, and automatic backups
- Set up user roles (Admin, Mod, Verified, User) and a permissions system
- FlaggedRevisions for editorial review workflows · Commenting and rating extensions
Chintan P.
Last position:
Product Owner and Technical Product Lead at Sustamize GmbH
LLM-based features for automated CO₂e data extraction from unstructured documents (70% reduction)
Agentic AI pipeline for automated Scope 3 emissions calculations with 150.000+ validated data records
Intelligent API workflows for real-time carbon footprint calculations in ERP and ESG systems
ML algorithms for predicting emissions hotspots and optimizing product design
Automated data validation pipelines with NLP for quality assurance of CO₂e datasets
Led a 15-person cross-functional team in developing 10+ AI features
Strategic product planning and AI roadmap with 35% shorter time-to-market
Stakeholder management with DAX companies (40% higher satisfaction, 95% retention)
On-time project delivery with 95% budget adherence through data-driven backlog management
Agile methods (Scrum, Kanban) with continuous AI/ML integration (25% increase in team velocity)
Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)
Kenan Š.
Last position:
Enterprise Architecture at Swiss Krono
- Building up the Enterprise Architecture department. Preparing the convergence of IT / OT.
- Mapping the global business application landscape (6 countries).
- Concept for a graph model of the application landscape. Storing the results in the open-source graph database Neo4J. Various reports in the database query language CYPHER and the visualization component BLOOM. Automatic generation of IT architecture diagrams.
- Development of an application taxonomy to identify redundant applications.
- Applying Gartner's Software Portfolio Management TIME model (Tolerate, Invest, Migrate, and Eliminate) for portfolio management.
- Enterprise Architecture Governance: establishing architecture guidelines for documenting measures and decisions.
- Process modeling according to Porter (Value Chain).
- Various architecture approvals for change requests and documentation in Architecture Decision Records (ADR).
- Working on the RACI matrix for various processes.
- Working on business capabilities as preparation for a LeanIX rollout.
- Contributing to the concept for IT/OT convergence.
- Establishing architecture guidelines in a very pragmatic corporate culture. Knowledge about applications and responsibilities is spread across the world.
Hubertus S.
Last position:
Senior Product Manager AI
Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.
- Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
- Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
- Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
- Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
- Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.
Alexandr K.
Last position:
Technical Co-Founder at Dealyv
- Joined the initial development team and helped transform an n8n prototype into a production-ready 0-to-1 product in a fast-paced environment.
- Owned delivery across CRM and Twilio integrations, customer communication workflows, and administrative interfaces.
- Collaborated on AI evaluation, microservice architecture, and other cross-functional product and engineering topics.
- Supported the CEO across VC communications, customer acquisition, product positioning, onboarding, documentation, pricing, and sales.
Abhishek N.
Last position:
Fullstack Developer at DAMALO GmbH
- Own full-stack development of an AI-native enterprise platform built on TypeScript, React, Vite, tRPC, Hono, and PostgreSQL, delivering AI-powered consulting workflows to B2B clients.
- Designed and shipped a multi-agent AI system using ReAct framework and Claude skills-style workflow patterns, including an intelligent PM assistant with rich system prompts, slash commands, tool integrations, and streaming chat UI.
- Architected an LLM evaluation framework: rubric-based LLM-as-judge, golden datasets, regression testing, and automated quality gating — ensuring consistent AI output quality at scale.
- Integrated LangFuse for end-to-end LLM tracing, conversation replays, and evaluation pipelines, enabling data-driven prompt optimisation that reduced token costs and response variance.
- Built with Drizzle ORM, pgvector, and knowledge graphs for structured data access, semantic search, and relationship-aware AI reasoning across the platform.
- Led TanStack React Query migration across the application — replacing manual state management with centralised caching and automatic refetching, reducing data-fetching boilerplate significantly.
- Practiced AI-native development throughout: Claude Code, Codex, Perplexity SDK, and LLM-assisted testing across the full development lifecycle. Deployed on Vercel + Azure ACA with Biome for linting/formatting.
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Aruldass A.
Last position:
Web Module Lead at Mphasis Limited
- Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.
Syed A.
Last position:
Senior Software Engineer at Giant Eagle
- Designed and developed AI-powered document processing solutions using Python, OCR, NLP, and Large Language Models (LLMs) to automate extraction, validation, and classification of financial documents, reducing processing time by 75%.
- Built intelligent multi-stage workflow automation pipelines integrating AI services, machine learning models, and enterprise systems to streamline financial operations and improve data quality.
- Developed reusable AI-driven transformation frameworks capable of processing structured and unstructured document formats (XML, CSV, JSON, TXT, DAT) and normalizing them into unified business schemas.
- Designed and developed Python-based REST APIs and backend services supporting enterprise finance applications and high-volume data processing workloads.
- Built scalable data synchronization pipelines between Oracle CFIN and SQL databases, incorporating machine learning models for cash-flow forecasting and AP/AR anomaly detection.
- Architected and deployed Apache Airflow workflows to orchestrate AI-powered data pipelines, automating end-to-end processing from document ingestion through financial system integration.
- Led the migration of critical enterprise integrations from MuleSoft to Python-based services, improving maintainability, performance, and operational flexibility while preserving complete data integrity.
- Managed the full API lifecycle including solution design, implementation, documentation, deployment, monitoring, and production support for mission-critical financial systems.
- Collaborated directly with finance stakeholders to identify business challenges, define solution requirements, and deliver measurable operational improvements through automation and AI-driven workflows.
- Worked closely with cross-functional engineering and business teams to rapidly iterate on features, improve processes, and drive successful adoption of AI-enabled solutions.
- Provided technical leadership through architecture reviews, technology decisions, code reviews, and engineering best practices across integration and automation initiatives.
- Mentored developers, established coding standards, and contributed to improving software quality, maintainability, and delivery effectiveness across projects.
- Provided production support during critical month-end and quarter-close financial processes, performing root-cause analysis and implementing rapid fixes to ensure system reliability and data accuracy.
Pierre B.
Last position:
Senior Engineering Manager at Audibene GmbH
- Responsibilities:
- Collaborate with Product Owner to define functional and technical requirements
- Quarterly Roadmap definition with Executives and Product Owner
- Fix bug and develop new features in Go and Typescript
- Manage and mentor full stack engineering team
- System Design in a micro-service environment
- Guarantee application security
- Improve engineering efficiency and deliverable quality
- Support automation with agentic-AI workflow
- Achievements:
- Improved security and data privacy awareness in the team with workshops around best practices, security measures and attacks types
- Conceptualized, designed and successfully released a new real-time chat application for our partners improving partner/company relationship and collaboration efficiency in Go and Typescript
- Reduced meeting hours for engineers by restructuring projects preparation workflow in collaboration with product team
Jorge N.
Last position:
Senior Developer at SafeXSmart KI Solutions UG
AI Platform Backend – Senior Developer
Brought in to design and build a backend for an AI platform from scratch, including multi-provider LLM orchestration and real-time infrastructure for AI influencer personas at scale.
Tasks and responsibilities
- Architecture and implementation of a multi-LLM orchestration layer with Semantic Kernel to integrate GPT-4 and other providers for core platform logic and AI influencer personas, reducing model-switching overhead by abstracting provider APIs behind a single interface.
- Design and development of a backend from scratch in C# / .NET 10, including domain modeling with DDD, a versioned RESTful API layer, and cloud infrastructure setup on Azure.
- Built a real-time chat infrastructure with Server-Sent Events (SSE), message persistence, and delivery guarantees for live operation of AI influencer personas at scale.
- Developed a media management service with integration of cloud object storage for upload and retrieval of influencer-generated content.
- Created an integration and unit test suite with data seeding for reliable regression testing across all core platform flows, significantly reducing production error rates.
Tools and technologies: C#, .NET, ASP.NET Core, Python, TypeScript, MySQL, Semantic Kernel, EF Core, Minimal APIs, LLM Orchestration, Prompt Engineering, Agentic AI, Generative AI, AI-Assisted Engineering, Claude Code, GitHub Copilot, Google Gemini, OpenAI API, Ollama, Redis, Azure, Azure Container Apps, Azure Database for MySQL, Docker, GitHub Actions, Clean Architecture, Vertical Slice Architecture, CQRS, Domain-Driven Design, REST API, xUnit, Integration Testing, Unit Testing, Jira, Confluence, Scrum
Benjamin F.
Last position:
Freelance Product Manager, Product Owner, Scrum Master & Agile Coach at Freelance
Freelance product owner, scrum master and agile coach in various projects spanning from local agencies to multinational corporations in diverse industries.
Last projects:
Adevinta: Technical Project Manager responsible for coordination of several sub-workstreams building the world’s largest classifieds multi-tenant platform.
Aroundhome (a ProSiebenSat.1 company): Product Manager implementing and verifying on the business side a concept for digital qualification of user requests for matching service providers.
Peek & Cloppenburg Düsseldorf: Product Manager Mobile advising on and guiding the rebuild of Android and iOS apps.
Visual Meta GmbH (an Axel Springer company), Berlin: Director Product co-leading the Product & Engineering department together with the Director Engineering.
Responsibilities at Visual Meta GmbH:
Define and deliver a 3–5 year horizon product strategy including a product vision & mission connecting to existing company strategy and strategies from adjacent departments.
Refine an existing OKR process together with OKR master and directors of other departments to increase focus and outcome.
Support the Director Engineering in creating a platform transformation strategy to transform a monolithic on-premise tech stack into a service-oriented, cloud-based architecture and establish a domain-based organizational setup.
Accountability for a motivated and talented team of 5 head-level colleagues and 17 operational team members from product management, data and UX/UI design.
Key achievements at Visual Meta GmbH:
Defined and delivered a 3–5 year horizon product strategy including a product vision & mission.
Increased focus within OKR process by moving from 10 company-level objectives to 2 and from several hundred team-level key results to a few dozen.
Created a career path framework for the product team defining roles and responsibilities from junior to head level positions.
Murad H.
Last position:
Founder & Technical Lead at Hubpoint.Ai
- Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
- Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
- Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
- Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
- Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.
Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Discover over 15,000 top freelancers
Statistics of experts using REST API
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)

Position duration
2.8 years (Germany: 2.9 years)

Positions per freelancer
10 (Germany: 12)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Retail

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
97% (Germany: 92%)
Master's degree or higher
55%
Doctorate
5% (Germany: 7%)

Certifications per freelancer
1 (Germany: 3)

Most common languages
English, German, French

Speak two or more languages
95% (Germany: 97%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 Berlin using REST API
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
REST API experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (97%)
- Banking and Finance (39%)
- Retail (35%)
- Media and Entertainment (35%)
- Healthcare (34%)
- Automotive (31%)
- Professional Services (31%)
- Education (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What REST APIs do
A REST API exposes application data and actions through predictable HTTP endpoints. It commonly uses resources, methods such as GET, POST, PUT and DELETE, and JSON responses. Companies use RESTful APIs to connect web applications, mobile products, internal systems and external services.
Core design skills
Strong professionals model resources clearly and choose consistent URLs, status codes and payloads. They handle pagination, filtering, validation, versioning and error responses without making the interface difficult to consume. They also document contracts so product, QA and integration teams can work from the same specification.
Ecosystem and tooling
REST API work often spans a wider delivery stack:
- OpenAPI or Swagger specifications and generated documentation
- OAuth 2.0, API keys, JWT and role-based access control
- Automated tests with Postman, Newman or framework test suites
- Databases, message queues, Docker and cloud deployment pipelines
The right tools depend on the application, security model and existing architecture.
When companies need specialists
Freelance expertise helps when a company is replacing tightly coupled integrations, launching a public API or connecting systems after an acquisition. It is also valuable when slow endpoints, unclear contracts or recurring production errors are blocking delivery. In Berlin, teams may work on-site or remotely, with English commonly used in distributed product groups.
What quality looks like
Reliable REST API professionals think beyond endpoint implementation. They define ownership, compatibility rules, observability and failure behavior, then test the interface under realistic conditions. Good documentation includes examples and edge cases, while monitoring reveals latency, error patterns and unexpected traffic. Security is designed into every request flow.
Deliverables to expect
A project may produce an API contract, endpoint implementation, authentication flow, integration adapters and a test suite. It can also include migration plans, performance improvements, deployment configuration and consumer documentation. Before engaging a specialist, clarify the systems involved, data sensitivity, expected consumers and who will maintain the interface after launch.
Frequently asked questions
Quick answers to the questions that come up most around REST API.
A REST API lets software exchange data and trigger actions over HTTP using resource-oriented endpoints. Companies use it for web and mobile backends, partner integrations, internal services, payment flows and access to business data.
A RESTful API offers a familiar HTTP model with clear resources, broad tooling and straightforward caching. GraphQL gives clients more control over requested fields, while gRPC is often chosen for efficient service-to-service communication; the best option depends on consumers, network needs and existing systems.
A strong REST API specialist should understand HTTP, data modeling, SQL or NoSQL storage, authentication, automated testing and cloud deployment. OpenAPI, Docker, observability tools and experience with queues or event-driven systems are also useful when integrations become more complex.
The required experience depends on the risk and scope of the interface. A small internal integration may need focused implementation and testing, while a public API needs careful versioning, security, documentation, monitoring and a plan for supporting existing consumers.
Yes. REST API work is well suited to remote collaboration because contracts, code reviews, tests and documentation can be shared digitally. Berlin teams should still agree on communication routines, overlap for decisions and whether occasional on-site workshops are useful.
Review the REST API contract for consistent resources, methods, status codes, validation and error handling. Ask for automated tests, security checks, performance evidence, documentation examples and a clear approach to backward compatibility and monitoring.
Before taking on REST API work, clarify the consumers, data ownership, authentication method, existing standards and release process. Also confirm whether the assignment covers only endpoints or includes database changes, integrations, documentation, testing and production support.
An HTTP API may be a poor fit when clients need highly flexible queries, where GraphQL is more suitable, or when low-latency internal communication favors gRPC. It can also be the wrong choice if the business process is better represented by asynchronous events than request-and-response calls.
The average hourly rate of freelancers in Berlin, Germany who have used REST API in their recent projects is 87 €, which corresponds to a daily rate of about 692 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used REST API in their recent projects, 97% hold at least a Bachelor's degree, 55% hold at least a Master's degree, and 5% hold a doctorate.
On average, freelancers in Berlin, Germany who have used REST API in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Berlin, Germany who have used REST API in their recent projects are English (97%), German (92%), and French (10%).
The most common industries among freelancers in Berlin, Germany who have used REST API in their recent projects are Information Technology (97%), Banking and Finance (39%), and Retail (35%).
The most common business areas among freelancers in Berlin, Germany who have used REST API in their recent projects are Information Technology (98%), Product Development (93%), and Project Management (50%).
Main locations of FRATCH Experts, who have recently used REST API
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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