Google Gemini Experts in Berlin
in minutes from over 15,000 CVs with the power of AI.Hire experts who work with Gemini, the Gemini API, Vertex AI, and Google AI Studio for chat features, content workflows, search, and automation. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Google Gemini
Chris Wolf
Last position:
Senior Strategy Advisor, Transformation Lead – program realignment with target picture, governance, and priority steering at Sparkassen-Finanzgruppe | S-Communication Services
In-house consulting provider and driver of transformation within the group, multi-stakeholder environment and C-level.
Realignment and stabilization of a cross-functional transformation and scaling program within the group. Sharpening the target picture, priorities, and set of measures, as well as building reliable governance, planning, and steering structures. Structuring roles, responsibilities, and strategic initiatives while including AI and IT automation ideas.
Designed program realignment and project portfolio management
Developed strategy model and target picture for IT projects
Structured portfolio, roadmap, and priorities
Established governance and regular meetings
Worked out operating model for flagship projects
Assessed AI and automation ideas
Clarified roles and responsibilities
Implemented change measures
Developed, moderated, and evaluated workshops
Transformed 17 initiatives into a steering model
Increased transparency and decision-making ability
Strengthened commitment in steering
Sharpened the operating model structurally
Integrated three top-5 institutes
Involved over 80% of stakeholders
Governance
Portfolio steering (PPM)
Change management
Artificial intelligence
Workflow automation
AI use case assessment
Confluence
Jira
Stakeholder management
Myrto Papagiannakou
Last position:
UX Lead, Strategist for Property Management Systems at Destination Solutions
- Leading UX for a Property Management System, an all-in-one solution for vacation rental agencies and tourism regions, covering marketing and rental of holiday apartments and houses
- UX audits, conception, and implementation of UX strategy with a focus on regulatory, security, and user-centered requirements
- Advising C-level stakeholders on UX strategy and design best practices
- Planning and conducting research with agencies and property owners
- Design system strategy and definition of UX architecture
Haseeb Zahid
Last position:
Senior Data Scientist at WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
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
Jevgeni Beliaikin
Last position:
orderbird
- Supported orderbird in setting up and driving an internal advanced analytics project for the internal customer dashboard
- Structured the internal dashboard project for later development
Victor Omojoye
Last position:
AI Training Engineer at Confidential AI Research Client
- Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
- Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
- Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
- Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.
Rosalina Loclair
Last position:
Interim & Freelance HR/ Culture and Transformation Consultant at Rosalina Loclair Business Advisory
- Act as a senior People & Transformation advisor to startups and mid-sized companies, leading restructuring, HR operating model redesign, and digital HR initiatives end-to-end.
- Drive HRIS/ATS selection and implementation (incl. Personio, Greenhouse, etc.), process design, stakeholder alignment, and internal communication to ensure adoption and measurable operational impact.
- Advise executives on workforce planning, labour law considerations, organisational structure, and decision-making mechanisms during change and growth phases.
- Build pragmatic recruiting strategies for critical roles (incl. AI/Tech), improving sourcing approach, funnel quality, and hiring velocity.
- Selected projects:
- Marley Spoon SE: Supported a major restructuring process, advising on labor law and workforce planning.
- Promedio GmbH/Osteopro: HR digitalisation, HRIS implementation, and launch of a modern corporate website (cross-functional transformation).
- Journee GmbH: Advised on tech recruiting and talent strategy for senior AI profiles.
- PTW Europa GmbH: First HRIS implementation, process design, and internal comms.
- Focus areas: HR Strategy, Digital HR Transformation, HRIS/ATS implementation, Change Management, Restructuring, Recruiting, and Future Skills (AI in HR).
Hamza Khan
Last position:
Academic Research Contributor in Health Sector (Volunteer)
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Marc Fritze
Last position:
Interim Talent Acquisition Manager at doctari
- Building a cross-functional product team to develop a super app
- Advising and mentoring to support the team and provide input (technical & soft skills)
Mario Riedinger
Last position:
Coach for Mid-Level/Senior Recruiters at La Red Berlin e.V.
- AI in recruiting
- Talent acquisition
- End-to-end recruiting
- Direct sourcing
- Dealing with hiring managers
- IT know-how
- Candidate experience
Ibrahim Hilali
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Eric Haas
Last position:
Lean Technology Strategy: Running Agile at Scale at LinkedIn Learning
- Course duration: 46 min
- Certificate Id: Ab2Hw1PxFkKCHeycuKNujzCTWS6T
André Beran
Last position:
External Attack Surface Assessment & Cybersecurity Readiness Checks at Graydaxe Cybersecurity GmbH
- Conducting cybersecurity readiness checks based on an in-house assessment methodology
- Analyzing the external attack surface using the Graydaxe EASM platform
- Assessing maturity levels and deriving prioritized recommendations for action
Trinica Abangco
Last position:
Marketing Insights & Analytics Manager, Shorts & GenAI (Interim) at YouTube (via Adecco)
- Rapidly operationalized measurement frameworks and insight generation to evaluate go-to-market initiatives, directly influencing regional planning and investment decisions within the first 60 days.
- Led complex attribution and incrementality analyses to quantify campaign impact, identifying key trends that drove improvements in user adoption and engagement.
- Partnered with product and marketing leadership to translate complex behavioral data into prioritized OKRs and clear strategic narratives.
Muhammad Latif
Last position:
AI Product Intelligence SaaS Platform at ProductLogik
- Defined product vision, roadmap, and subscription-based monetization model.
- Architected multimodel AI orchestration (Gemini + GPT fallback) ensuring reliability and cost efficiency.
- Designed explainable insight engine with confidence scoring and agile antipattern detection.
- Built and deployed full-stack architecture (FastAPI, PostgreSQL, React) with secure authentication and quota governance.
- Tech: Python, FastAPI, PostgreSQL, React, TypeScript, Stripe, Gemini API, OpenAI API.
Discover over 15,000 top freelancers
Statistics of experts using Google Gemini
Aggregated from the professional profiles of matched freelancers.
Experience
14 years (Germany: 17 years)
Position duration
2.1 years (Germany: 3.2 years)
Positions per freelancer
9 (Germany: 10)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Product Development, Strategy
Bachelor's degree or higher
97% (Germany: 89%)
Master's degree or higher
50% (Germany: 52%)
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
97% (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 Google Gemini
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
Gemini in practice
Google Gemini is used to build assistant flows, content tools, search features, and multimodal apps that read text, images, and files. Companies bring it in when they want natural language interaction inside products, internal tools, or customer support. It fits both greenfield builds and upgrades to existing Google Cloud stacks.
Common delivery
- Prompted chat and task automation
- Document, image, and knowledge extraction
- Content generation with guardrails
- Tool use through APIs and workflows
Strong work with Gemini usually means turning broad product ideas into stable prompts, structured outputs, and testable flows. The best professionals think about latency, safety, and how responses connect to real business systems.
Ecosystem and tools
Gemini work often sits around the Gemini API, Google AI Studio, and Vertex AI. Experts also need to handle prompt design, function calling, evaluation, and integration with cloud services, search, storage, and event-driven systems. For teams in Berlin, this often means fitting into product and cloud teams already using Google tools.
When to hire
Companies usually look for freelance Gemini specialists when they need to prototype quickly, rescue weak prompt setups, or add multimodal features without building a large in-house team. It is also useful for migrations from earlier OpenAI or PaLM-based flows, or when a release needs careful tuning before launch.
What good experts do
- Design prompts that stay stable across real user input
- Shape outputs into JSON, summaries, actions, or search answers
- Test failure cases, safety limits, and edge prompts
- Connect Gemini to internal data and product logic
A strong specialist explains tradeoffs clearly and ships code that is easy to review. They know when to use Gemini directly, when to route through Vertex AI, and when a simpler model or rule-based step is better.
Berlin collaboration
Berlin teams often need flexible support for product launches, internal tools, and multilingual user experiences. A good freelancer can work remote, but on-site help can be useful for workshops, stakeholder alignment, or fast feedback loops. English is usually enough for delivery, while clear documentation matters for handover.
Frequently asked questions
Questions about Google Gemini? Start with the answers below.
A strong Google Gemini expert helps build chat assistants, document workflows, search experiences, and multimodal features that work with text, images, and files. In practice, that often means prompt design, API integration, and structured outputs that fit real product logic.
Google Gemini is often chosen when a team wants tight integration with Google Cloud, Vertex AI, or Google AI Studio. Compared with OpenAI or Claude, the choice usually comes down to the existing stack, the need for multimodal handling, and how the model fits internal workflows.
Gemini work rarely stops at prompts alone. Good freelancers usually also know Vertex AI, API design, data flow, authentication, logging, and how to connect model output to product systems without breaking reliability.
A Google Gemini specialist in Berlin should be able to join product discussions, work in English, and document decisions clearly. If your team is partly on-site, a freelancer can help with workshops and early integration work, then continue remote for delivery.
A simple prototype may need only a focused Google Gemini specialist who can shape prompts and connect an API. Production work needs more: prompt testing, safety checks, structured responses, monitoring, and a plan for updates when requirements change.
The most useful adjacent skills are prompt engineering, Python or JavaScript, API integration, Google Cloud, and evaluation workflows. For Google Gemini, it also helps if the freelancer understands retrieval, search, and how to work with internal knowledge bases.
Look for clear examples of stable prompts, safe output handling, and integrations that solved a real business task. A good Gemini freelancer talks about failure cases, test coverage, and how they reduced manual cleanup, not just about model features.
The biggest mistakes with Google Gemini are vague prompts, no output validation, and treating the model like a finished product instead of a component. Teams also run into trouble when they skip evaluation or ignore how the system behaves with messy real-world input.
The average hourly rate of freelancers in Berlin, Germany who have used Google Gemini in their recent projects is 91 €, which corresponds to a daily rate of about 732 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Google Gemini in their recent projects, 97% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Google Gemini in their recent projects have 14 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 Google Gemini in their recent projects are English (100%), German (90%), and Spanish (19%).
The most common industries among freelancers in Berlin, Germany who have used Google Gemini in their recent projects are Information Technology (94%), Retail (52%), and Banking and Finance (45%).
The most common business areas among freelancers in Berlin, Germany who have used Google Gemini in their recent projects are Information Technology (90%), Product Development (84%), and Project Management (58%).
Main locations of FRATCH Experts, who have recently used Google Gemini
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.
Hamburg 
Munich 
Cologne 
Frankfurt Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
