GitHub Copilot Experts in Berlin
matched in minutes by AIHire experts who use GitHub Copilot for code completion, test generation and refactoring across modern software projects. FRATCH connects you with vetted, available freelancers whose skills match your requirements precisely and quickly.
Meet FRATCH Experts in Berlin, who have recently used GitHub Copilot
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.
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.
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
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
Enrico G.
Last position:
Freelance Software & Data/AI Engineer at Freiberuflicher Software & Data/AI Engineer
- Lecturer for the GenAI Track at the Master School Institute of Technology
- Development of a full-stack AI application (React + Python/FastAPI) for automated supplier product import with intelligent column and category classification (4-layer hierarchical) including human-in-the-loop validation
Santina W.
Last position:
Business Analyst & BI Strategist - Comparison Portal at dataweys (self-employed)
- Assessment of the existing reporting landscape and strategic bundling of needs
- Migration and consolidation of reports to Metabase, connected to ClickHouse as the data foundation
- Building and maintaining data pipelines
Stack: Metabase · ClickHouse · Appsmith · Airflow
Daniel S.
Last position:
Engineering Leader & AI-Assisted Developer at Independent · Building with AI
- Building a full-stack e-commerce product using AI-assisted development, deliberately returning to hands-on engineering to validate how AI changes software development workflows and team dynamics.
- Exploring VP Technology, Head of Engineering, and Director of Engineering opportunities where hands-on AI experience meets organisational scaling expertise.
- Open to advisory conversations on AI-augmented engineering teams, technology strategy, platform architecture, and organizational design.
- No registered business. No commercial activity.
Alberto G.
Last position:
C#/.Net Developer at Pean-IT GmbH
- Developed high-performance REST API interfaces in C# for Investitionsbank Berlin (IBB) using CI/CD (Git, Azure DevOps).
- Developed the "Pean Admin Center" using the Microsoft Graph API (backend: C#, frontend: Vuetify), implemented via CI/CD pipelines (Azure DevOps).
- Created low-code business applications and automated processes with Power Apps and Power Automate.
- Set up and designed the online shop for Pestalozzi-Fröbel-Haus (PFH) via Wix.
Kai S.
Last position:
Software Developer at Hensoldt AG
- Development of a GUI application for capturing and calculating TOPSIS sensor combinations
- Technologies: Python, VS Code, Unit Tests, Clean Code, GitHub Copilot
Discover over 15,000 top freelancers
Statistics of experts using GitHub Copilot
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 17 years)
Position duration
2.1 years (Germany: 1.7 years)
Positions per freelancer
10 (Germany: 13)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Education, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
75% (Germany: 63%)
Doctorate
13% (Germany: 6%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 96%)
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 GitHub Copilot
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.
GitHub Copilot 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 (100%)
- Education (67%)
- Banking and Finance (56%)
- Healthcare (56%)
- Manufacturing (44%)
- Real Estate (44%)
- Retail (44%)
- Transportation (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What GitHub Copilot Does
GitHub Copilot is an AI-powered coding assistant integrated into popular development environments and GitHub workflows. It suggests code, explains unfamiliar logic, drafts tests, creates documentation and helps professionals move from an idea to a working implementation. Its output supports human decisions rather than replacing code review, design or ownership.
Where It Fits
GitHub Copilot supports software teams working across languages, frameworks and repositories. Strong results depend on clear requirements, useful project context and established engineering practices.
- Generate boilerplate for web, mobile and backend services
- Draft unit tests, API clients and data transformations
- Explain legacy code and suggest focused refactoring
- Create documentation, pull request text and examples
Ecosystem And Controls
Professionals work with GitHub Copilot in environments such as Visual Studio Code, Visual Studio, JetBrains IDEs and GitHub.com. Relevant expertise includes Git, pull requests, branching strategies, repository instructions, secure development and the configuration of organizational policies. Teams also need a clear approach to reviewing suggestions, protecting sensitive code and checking license or compliance requirements.
When Companies Need Help
Freelance expertise is useful when a company wants to introduce Copilot without slowing delivery or weakening quality. It can also help when teams need a practical workflow for large repositories, legacy modernization or consistent use across distributed groups.
- Set up repository guidance and team usage patterns
- Review generated code for correctness, security and maintainability
- Improve test coverage and documentation workflows
- Evaluate where assisted coding adds real value
Project Collaboration In Berlin
Berlin companies use GitHub Copilot across product teams, digital services, software agencies and internal technology groups. A local professional can work on site when workshops or close team integration matter, while remote collaboration fits code reviews, repository work and recurring delivery. German or English communication should be agreed before the engagement starts.
What Strong Professionals Bring
The best specialists treat Copilot as one part of a disciplined engineering process. They can explain why a suggestion is suitable, identify hallucinated APIs, test edge cases and adapt prompts or repository instructions to the codebase. They also understand architecture, security, version control and the product context behind each change, producing maintainable results rather than fast but fragile output.
Frequently asked questions
What clients ask us most about GitHub Copilot — answered in short.
GitHub Copilot is used to suggest code, generate tests, explain existing files and draft documentation inside supported development tools. Companies commonly apply it to routine implementation work, legacy code analysis and faster feedback during everyday repository tasks.
GitHub Copilot is closely integrated with GitHub repositories, pull requests and coding environments, so its value often comes from working within an existing software workflow. ChatGPT may offer broader general conversation, while Amazon Q Developer is particularly relevant to teams centered on AWS services; the right choice depends on context, controls and existing tools.
A strong GitHub Copilot specialist should also understand Git, code review, testing, software architecture and secure coding. Experience with the project’s language, framework, CI pipeline and repository conventions is more useful than familiarity with suggestions alone.
The required level depends on risk and scope, not simply on whether Copilot is enabled. A small productivity setup may need guidance and review skills, while production migration, security-sensitive systems or organization-wide rollout calls for a professional who can assess architecture, governance and delivery quality.
GitHub Copilot works well in remote collaboration when repository guidance, review rules and communication channels are clear. Teams in Berlin should align on English or German communication, meeting overlap, data handling and who approves generated changes before work begins.
Assess the result through tests, code review, security checks, maintainability and how clearly the professional explains each change. A capable GitHub Copilot specialist validates suggestions against requirements and edge cases instead of accepting generated code without scrutiny.
GitHub Copilot does not replace judgment about architecture, product requirements, security or operational risk. It can reduce repetitive work, but professionals still need to select suitable approaches, verify output and take responsibility for the delivered system.
Freelancers using GitHub Copilot should clarify repository access, permitted data, organizational policies and expectations for generated code. They should also be ready to document decisions, protect confidential information and demonstrate that suggestions were tested and reviewed.
The average hourly rate of freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects is 90 €, which corresponds to a daily rate of about 720 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects are Information Technology (100%), Education (67%), and Banking and Finance (56%).
The most common business areas among freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects are Information Technology (100%), Product Development (89%), and Project Management (89%).
Main locations of FRATCH Experts, who have recently used GitHub Copilot
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 Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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Philipp Thomaschewski
FRATCH CEO
