React Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used React
Chintan Padaliya
Last position:
Product Owner and Technical Product Lead at Sustamize GmbH
LLM-based features for automated COâ‚‚e data extraction from unstructured documents (70% reduction)
Agentic AI pipeline for automated Scope 3 emissions calculation with 150,000+ validated data records
Smart API workflows for real-time carbon footprint calculations in ERP and ESG systems
ML algorithms to predict emission hotspots and optimize product design
Automated data validation pipelines with NLP for quality assurance of COâ‚‚e datasets
Led a 15-person cross-functional team to develop 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% team velocity increase)
Product-market fit for AI features through A/B testing and analytics (60% higher adoption rate)
Dave Mooney
Last position:
Founder & Lead Designer at Dave Mooney Software
- Leading end-to-end UX for two AI SaaS products in closed beta, including LLM-interaction design, prompt-UX, and human-in-the-loop patterns with commercial distribution signed for launch in Q3 2026
- Built a self-built LLM reframing and RAG-correction pipeline powering multi-profile CV and case-study generation in production use
- Shipping real code alongside research, including Three.js/GLSL portfolio work, Figma-API tooling, and a Chrome MV3 extension for session-sync automation
Abhishek Nair
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 Schulz
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 Arulanandu
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.
Benjamin Faas
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.
Jorge Nuricumbo
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
- Architected and implemented 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.
- Designed and developed 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 the production error rate.
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
Santhosh Kannan
Last position:
Freelance Software Engineer at Zalando SE
- Support Authorization as a Service initiative for enterprise-scale authorization platform
- Incorporate comprehensive observability solutions into authorization infrastructure
- Provision and manage AWS infrastructure for authorization services
- Mentor development team on AWS and Kubernetes best practices
- Tech Stack: Java/Kotlin, Golang, Python, OPA, Spring Boot, AWS, Kubernetes, Terraform, ELK Stack, Prometheus, Grafana
Oleg Abrazhaev
Last position:
Staff Software Engineer at Kpler Germany GmbH
- Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
- Collaborating with other teams to integrate more domains
Tech stack:
- Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
- BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
- Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD
Maciej Rosiek
Last position:
Full Stack Developer (Freelancer) at Runbuggy
- Led development of RunBot AI assistant autonomously using LLM-powered workflow automation (React, TypeScript, Java, MongoDB, NATS)
- Architected TMS platform providing unified transportation management and real-time logistics visibility with AI processing pipelines
- Designed event-driven microservices architecture supporting marketplace
- Drove architectural decisions and technical leadership across full-stack platform development
Nada Sadek
Last position:
Freelance Senior Frontend Engineer at Self-Employed
- Senior software engineer focused on React, TypeScript and AI-assisted product workflows
- Build frontend systems for complex SaaS products, internal tools and operational workflows
- Recent work includes AI evaluation tooling, support reliability analysis and developer-focused QA systems
- Available for freelance and contract engagements, especially remote-first projects
Viktor Shcherban
Last position:
AI Engineer (Freelance) at Empion
Enterprise AI content categorization and AI-powered web research.
- Built multi-LLM evaluation framework with annotated data
- Iterated LLM error rates based on annotated datasets
- Implemented AI-powered web research pipeline Stack: LLM, evals, OpenRouter, Python, Node.js, TypeScript, React
Wolfram Knan
Last position:
AI / Machine Learning Engineer (Projects & Applied AI) at UNIVERSITÉ PARIS 1 PANTHEON-SORBONNE & LIORA
- Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
- Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
- Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
- Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
- Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow
Geza Lakatos
Last position:
UX Strategist & AI App Developer (AI-assisted App Strategy) at Own Projects (Nutrycoach.ai, LuxuryBandit)
Conceptualizing and developing AI-powered app MVPs from the first idea to a working product. I combine UX strategy with modern AI and no-code tools — especially Claude and Claude Code, where I work directly in the terminal on real code (React, Vite), complemented by Figma, Bolt.new, and Base44 — to quickly validate and build product ideas. Personal platforms: Nutrycoach.ai (AI nutrition coaching with role-based dashboards for clients, coaches, and admins, AI meal analysis, and a scalable design system) and LuxuryBandit (content/creator app). This led to my own practice 'AI-assisted App Strategy', which combines human creativity, UX logic, and intelligent automation.
Fernando Camargo Del Buono
Last position:
Senior Front-End Developer at Moss
- Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
- Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
- Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
- Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
- Works with complex cross-entity relationships without a single-schema solution.
- Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.
Discover over 15,000 top freelancers
Statistics of experts using React
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 16 years)
Position duration
2 years (Germany: 2.7 years)
Positions per freelancer
10 (Germany: 11)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Media and Entertainment
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
93% (Germany: 91%)
Master's degree or higher
51% (Germany: 55%)
Doctorate
2% (Germany: 5%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
English, German, Spanish
Speak two or more languages
96% (Germany: 98%)
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 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 React
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
React in practice
React is a JavaScript library for building user interfaces with reusable components. Companies use it for product front ends, dashboards, internal tools, customer portals, and mobile-adjacent interfaces with React Native. Strong specialists know how to turn design systems and product goals into maintainable UI work.
Typical work
- Build and refine component libraries
- Connect front ends to APIs and backend services
- Improve rendering, routing, and state handling
- Support migration from older UI stacks
- Add tests, accessibility, and developer tooling
Ecosystem around it
React often sits with Next.js, TypeScript, Redux, Zustand, React Query, Vite, and testing tools such as Jest and Testing Library. Experienced professionals choose the right setup for the product stage, not just the newest package. They also keep bundles lean and code easier to extend.
When to hire outside help
Companies bring in freelance React specialists when a launch is close, a team needs extra delivery capacity, or a UI needs cleanup after fast growth. This is common for Berlin teams shipping SaaS, commerce, media, and startup products with tight product cycles. It also helps when internal specialists are busy with roadmap work.
What strong specialists do
A good React professional writes clear component code, manages state without chaos, and spots issues in performance and maintainability early. They work well with product, design, and backend teams. They also explain trade-offs clearly, so decisions stay practical.
Berlin collaboration
In Berlin, React work is often done in mixed setups, with some on-site time for workshops and remote delivery for focused implementation. Good specialists adapt to English-speaking teams and local product workflows. They should be comfortable with asynchronous communication and direct feedback.
Frequently asked questions
Quick answers to the questions that come up most around React.
React is used to build interactive user interfaces for web apps, portals, dashboards, and customer-facing product experiences. Teams choose it when they need reusable components, fast UI changes, and a structure that can grow with the product. It is a strong fit for applications that change often and need clear separation between visual parts.
React is usually seen as more flexible than Angular and more widely standardised across product teams than many smaller UI options. Angular comes with more built-in structure, while Vue often feels lighter for smaller interfaces. The right choice depends on team habits, existing code, and how much opinionated tooling the project needs.
A strong React specialist usually also knows TypeScript, JavaScript, HTML, CSS, and modern API work. For many projects, Next.js, state management, testing, accessibility, and design-system work matter just as much. If the app is complex, knowledge of performance tuning and build tooling helps too.
A simple marketing site needs less depth than a complex product app, but React work often benefits from specialists who have shipped real components and production flows. If the project involves authentication, routing, shared state, or server-side rendering, you want someone who has handled those patterns before. The harder the UI, the more important practical delivery experience becomes.
Yes, React work is well suited to remote delivery because most tasks are code, review, and product coordination. Berlin teams often mix remote work with occasional in-person sessions for planning, design reviews, or kickoff meetings. Clear communication matters more than constant presence.
Look for React code that is modular, readable, and easy to test. Good specialists explain why they chose a pattern, not just how they coded it. They should also care about accessibility, performance, and how the UI will be maintained after launch.
React works well for both new builds and rewrites, especially when the team wants a component-based UI and a large ecosystem. For rewrites, the main question is whether the current front end can be improved in steps or needs a clean break. A good specialist will help you choose the safer path.
Many React specialists do, but not all. Next.js is common for server-side rendered web apps and content-heavy products, while React Native is used for mobile interfaces that share ideas and skills with React. Ask for direct project examples, because each area has its own delivery details.
The average hourly rate of freelancers in Berlin, Germany who have used React in their recent projects is 91 €, which corresponds to a daily rate of about 725 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used React in their recent projects, 93% hold at least a Bachelor's degree, 51% hold at least a Master's degree, and 2% hold a doctorate.
On average, freelancers in Berlin, Germany who have used React in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Berlin, Germany who have used React in their recent projects are English (98%), German (91%), and Spanish (11%).
The most common industries among freelancers in Berlin, Germany who have used React in their recent projects are Information Technology (99%), Retail (43%), and Media and Entertainment (41%).
The most common business areas among freelancers in Berlin, Germany who have used React in their recent projects are Information Technology (99%), Product Development (97%), and Project Management (46%).
Main locations of FRATCH Experts, who have recently used React
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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