GitHub Copilot Experts in Berlin
in minutes from over 15,000 CVs with the power of AIHire experts who use GitHub Copilot to speed up code completion, test writing, refactoring, and documentation across real delivery work. From IDE setup to team-wide usage guidelines, get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used GitHub Copilot
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.
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
Enrico Goerlitz
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 Wey
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 Suszczynski
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 Galván De La Rosa
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 Schmudlach
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
16 years
Position duration
1.8 years
Positions per freelancer
9
Top business areas
Information Technology, Project Management, Product Development
Top industries
Information Technology, Education, Healthcare
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
67%
Doctorate
17%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
GitHub Copilot is an AI coding assistant that helps specialists write, review, and reshape code inside the editor. It is used to speed up routine work, reduce context switching, and support delivery in languages like JavaScript, TypeScript, Python, Java, and C#.
Where it helps
- Code completion and boilerplate generation
- Test cases, refactoring, and documentation
- Bug fixes and API integration work
- Pairing support in IDE-based delivery
Tooling around it
Strong specialists know how Copilot behaves in Visual Studio Code, Visual Studio, JetBrains IDEs, and GitHub workflows. They also know when suggestions should be accepted, rewritten, or ignored, and how to keep code style, security, and repository standards intact.
When companies bring in help
Teams usually look for freelance expertise when adoption is uneven, output quality varies, or a project needs faster delivery without losing control. In Berlin, this often comes up in product teams, agency work, and internal platform work where developers need clear guidance on practical use.
What strong specialists do
Strong professionals do more than type faster. They shape prompts, review generated code carefully, adapt Copilot to the team’s stack, and keep the workflow grounded in tests, linting, and secure coding habits.
What to expect
GitHub Copilot works best when the codebase is well structured and the team has clear standards. The right expert helps turn it into a practical aid for everyday delivery, not a shortcut that creates cleanup later. In remote or on-site work, communication matters just as much as editor skill.
Frequently asked questions
What clients ask us most about GitHub Copilot — answered in short.
GitHub Copilot is used to speed up writing code, tests, comments, and refactoring steps inside the editor. It is most useful for repetitive work, small feature changes, and helping specialists move through unfamiliar code faster. Good use still depends on review, tests, and clear coding standards.
GitHub Copilot works directly in the coding workflow, so it is focused on inline suggestions, chat in the IDE, and repository-aware help. ChatGPT and similar tools are often better for broader explanation or planning, while Copilot is built for day-to-day implementation. Many teams use both, but for different tasks.
A strong GitHub Copilot specialist should understand the main programming language, testing, code review habits, and the team’s IDE setup. Useful adjacent skills include GitHub workflows, secure coding, prompt writing, and cleanup of generated code. Without those, Copilot can save time but still leave quality gaps.
GitHub Copilot expertise is most valuable on active codebases where speed, consistency, and maintainability all matter. It helps on product features, refactoring, test coverage, and documentation-heavy work. It is less useful if the codebase is unstable or the team has no clear review process.
Yes. GitHub Copilot fits remote collaboration well because the main work happens in the editor and in GitHub, not in a shared office. For teams in Berlin, that makes it practical to bring in specialists who can work remotely, then join in person only when alignment or onboarding needs it.
Ask how the GitHub Copilot specialist uses it on the stack you have, how they review output, and how they handle tests and security. Also ask whether they have worked with your IDE and repository setup. The best answer is concrete and tied to delivery, not generic enthusiasm.
Look for clear examples of shipping code with GitHub Copilot while keeping tests, style, and review standards intact. Strong specialists can explain where Copilot helps, where it slows them down, and how they prevent weak suggestions from reaching production. If they talk only about speed, that is not enough.
No. GitHub Copilot can remove routine work and support faster drafting, but it does not replace judgment, architecture decisions, or careful review. The best results come from experts who know how to use it as a tool, not as a substitute for skill.
The average hourly rate of freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects is 85 €, which corresponds to a daily rate of about 677 € 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, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.8 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 (43%).
The most common industries among freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects are Information Technology (100%), Education (71%), and Healthcare (71%).
The most common business areas among freelancers in Berlin, Germany who have used GitHub Copilot in their recent projects are Information Technology (100%), Project Management (100%), and Product Development (86%).
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.
Request a free demo
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