Cypher Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Cypher
Andreas Winters
Last position:
Enterprise Architect at Own development / IP of CAMCO Engineering UG
UEF 3.0 · Semantic Government Overlay (SGO) · Autonomous Systems (UAS / dual use)
- Designed: Semantic Government Overlay (SGO) – AI-guided administration without replacing existing specialist procedures. Read-only semantic layer over registers and specialist processes based on the Federal Information Management (FIM). Decision authority remains with the case worker (architecture principle).
- Developed: Reference architecture with source-backed, derived statements (Executable Ontologies OWL/RDF/SHACL). Technically guaranteed purpose limitation and no-write-path principle in specialist data – auditable, without a central data pool.
- Anchored: Regulation as a design principle: EU AI Act (high-risk obligations for public-sector AI, fundamental rights impact assessment under Art. 27), GDPR, NIS2, and administrative automation limits (§ 35a VwVfG, § 31a SGB X) as technical control points in the architecture.
- Created: Methodical tool for pilot organizations: data pipeline assessment (phase 0), compliance blueprint, and management summary as a decision-ready package for public administration.
- Specified: UEF 3.0 as a successor architecture to TOGAF – decision paper, canonical ontology, six-layer architecture, read/actuate boundary, federation registry, terminology concordance, and release delta as a closed specification status.
- Architected: AI-native mission OS for autonomous UAS and ground robotics as a tactical layer on top of a separately approved autopilot. Run-time assurance according to ASTM F3269-21 (Simplex pattern): the verified safety controller keeps authority, the AI function provides suggestions.
- Designed: Three-tier architecture – Tier 0 autopilot with 650 Hz flight control on RTOS, Tier 1 AI OS with semantic world model and multi-agent cluster, Tier 2 swarm and ground mesh. Zenoh as the primary fabric, MAVLink as the only authenticated command path (single writer). Result: graceful degradation – loss of the mission, not of the aircraft.
- Secured: Two-gate chain on the read/actuate boundary – governance gate (can-question: AI Act risk class per actuation, enforced human oversight under Art. 14, immutable log) before the RTA safety monitor (is-it-correct question: flight envelope, geofence, energy reserve) with revert to the baseline controller.
- Anchored: Dual-use architecture with common core and build-time fork instead of runtime switch. Three separate legal levels: civil variant – UAS under the EASA Basic Regulation (EU) 2018/1139 with the limited applicability under Art. 2(2) of the AI Act, ground robotics under the Machinery Regulation 2023/1230 with the full high-risk obligation chain, Cyber Resilience Act for both; unarmed carrier variant as defense material under AWG/AWV and Dual-Use Regulation 2021/821 (BAFA approval); armed variant under KrWaffKontrG. Each variant lives under exactly one dominant legal regime. Evidence base: AI BOM, SBOM, and complete data lineage.
- Analyzed: System analysis and realignment of grown engineering system landscapes. Approach concept for consolidation without migration – semantic layer over the existing sources instead of data transfer. Result: decision-ready implementation concept including an evaluation model for the target architecture.
Rodion Orlinskiy
Last position:
Founder, CTO & Managing Director at MYNR Product Mining GmbH
- Responsible for the architecture and development of an AI-native SaaS platform for industrial product portfolio management.
- Designed the modern data platform architecture on Azure for scalable analytics and enterprise data integration.
- Built enterprise data ingestion and transformation pipelines across complex industrial system landscapes.
- Developed graph-based representations of product structures and dependencies for analytical reasoning.
- Designed and implemented an agentic AI framework for AI-supported decision workflows.
- Built scalable analytical microservices and integrated reporting through modern BI technologies.
- Coordinated backend, AI, and frontend development across the MYNR platform stack.
Niko Karajannis
Last position:
Co-founder & AI Engineer at KAIKI GmbH
End-to-end responsibility for all products - concept, architecture, development, and production operation as the sole developer; in addition, customer meetings, proposals, and marketing.
Underwriting Copilot - AI assistant for industrial insurance (in production at customer sites)
- Supports underwriters in analyzing industrial insurance submissions - in production use at an industrial insurer.
- Framework-independent RAG architecture with Hybrid Search (BM25 + pgvector) across large, mixed document sets.
- Two-stage evaluation and observability pipeline (code assertions + LLM-as-Judge) that makes answer quality, retrieval accuracy, and citation integrity measurable in a regression-safe way.
Kaiki Menu Analyzer - Data intelligence platform (in production at customer sites)
- Automatically captures and analyzes menu data from around 25,000 German restaurants.
- Scalable 7-container architecture (FastAPI, partitioned PostgreSQL, Redis/RQ) with LLM-supported extraction of structured data from PDF, HTML, and images.
- Full CI/CD pipelines (GitHub Actions), production cloud deployment, interactive dashboards (Dash).
Kaiki GEO Atlas - GEO platform (in production at customer sites)
- Measures brand visibility across five AI engines (ChatGPT, Gemini, Perplexity, Grok, Claude), each augmented with web search, orchestrated as a DAG workflow pipeline (Dispatcher → Sub-workflows → Scoring → Report) with fail isolation.
- 6-container deployment (FastAPI, Celery, Redis, PostgreSQL); LLM cost estimation, PDF audit report, rule-based cross-signal insights (no extra LLM cost).
Data Pipeline & Analytics Platform - competitive analysis in the automotive aftermarket
- Automated data pipeline with gap analysis algorithms and role-based access control; 230+ tests.
- Backend with FastAPI, PostgreSQL, SQLAlchemy.
Product development (actively in progress)
BankingGPT - AI assistant for complaint management in cooperative banking
- Security architecture at the core: no AI draft reaches the customer without human approval - the approval decision is in auditable code, not in the language model (monotonic: the model may escalate, never downgrade).
- Real agentic building blocks, each with its own boundary: the model chooses tools itself through an MCP server (read-only, allowlist, capped, fail-safe); sensitive cases are handed off via an open A2A protocol (JSON-RPC, Agent Card, message/send/tasks/get; client implemented by me) to a separate specialist agent (securities/law), which never lowers the review requirement (pinned by test).
- Evaluation-driven over ten analysis rounds; uncovered a security flaw through independent review and blind tests that nine automated runs had missed.
- Voice AI frontend, responding live: covered cases are answered in the conversation, sensitive ones escalate before generation; response latency < 7 s measured (local GPU STT/TTS).
Stack & production readiness: Python, pydantic-ai, FastAPI/Celery, PostgreSQL/pgvector, FastMCP, fasta2a, Docker; multi-tenant capable (physical vector isolation per tenant), PII encrypted, OWASP-LLM reviewed, 275 tests, CI/CD; vendor-portable (Ollama / EU Cloud Vertex).
After-Sales Assistant - agentic RAG/GraphRAG assistant on public OEM manuals (automotive after-sales)
- Genuinely agentic on LangGraph: ReAct agent with four tools and conversation memory - the model decides on its own whether to use the manual (RAG, Chroma), a knowledge graph (GraphRAG, Neo4j/Cypher - decodes warning lights), or a workshop/booking service.
- Human-in-the-Loop before the irreversible action: before every appointment booking, the graph pauses (interrupt) and gets the driver's explicit confirmation - the same approval-before-action discipline as in BankingGPT, in a different framework.
- Eval as CI gate: a three-part scorecard (RAGAS grounding + deterministic tool-routing accuracy + DeepEval safety: does the answer mention the warning first when there is a critical warning?) blocks the pipeline; provider-agnostic (OpenAI/Azure/Anthropic), FastAPI with token streaming.
Stack: Python, LangChain/LangGraph, Chroma, Neo4j, RAGAS/DeepEval, FastAPI, Docker.
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.
Vili Dhamo
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
- Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
- Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
- Orchestrated pipelines with Azure Data Factory
- Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
- Led the Data Engineering team (3 members) in a functional role
- Conducted workshops to optimize and stabilize the data platform and the development process
- Collected and prioritized new requests, maintained the product backlog
- Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural
Kenan Šabić
Last position:
Enterprise Architecture at Swiss Krono
- Established the Enterprise Architecture department. Prepared the convergence of IT/OT.
- Mapped the global business application landscape (6 countries).
- Designed a graph model of the application landscape. Stored the results in the open-source graph database Neo4j. Created various reports in the database query language CYPHER and using the visualization component Bloom. Automated generation of IT architecture diagrams.
- Developed an application taxonomy to identify redundant applications.
- Applied Gartner's Software Portfolio Management TIME model (Tolerate, Invest, Migrate, and Eliminate) for portfolio management.
- Enterprise Architecture governance: established architecture guidelines to document measures and decisions.
- Process modeling according to Porter (Value Chain).
- Various architecture approvals of initiative requests and documentation in Architecture Decision Records (ADR).
- Contributed to a RACI matrix for various processes.
- Worked on business capabilities in preparation for a LeanIX rollout.
- Participated in designing IT/OT convergence.
- Established architecture guidelines in a pragmatic company culture. Knowledge about applications and responsibilities was scattered globally.
Mathew Divine
Last position:
Data Science Expert and AI Strategist at Freelancer
- Built an API to ingest, clean, translate, and index EU tenders documents in Neo4j, enabling hybrid search with RAG and Cypher queries via a Streamlit dashboard
- Deployed the API on AWS Lightsail container services with CI/CD automation via GitHub Actions, ensuring stability through pytest unit and integration tests
- Designed and developed a comprehensive online course on data analysis using ChatGPT for professionals and learners, creating instructional videos and interactive Jupyter notebooks
- Utilized OBS and professional audio equipment to ensure high-quality video and audio content
- Led a CRM data normalization and cleaning project visualized via a Sankey diagram to aid customer understanding and pipeline development
- Implemented and validated a genAI-driven web crawling strategy on AWS, ensuring data quality, scalability, and CRM data augmentation
Felix Kleinhenz
Last position:
Freelance Product Consultant (Part-time) at Senvo GmbH
- Support to define & execute product strategy & scope out first features
- Mentoring CEO in order to guarantee better product alignment
Daniel Witt-Surmann
Last position:
Senior Developer / Deputy Project Lead at Finanz Informatik GmbH & Co. KG
Worked as a Senior Developer
Worked as a Deputy Project Lead
Technologies: Java (Spring), React
Environment: OSPlus, MKP
Developed various standalone tools
Developed unit and Selenium tests
Integrated REST APIs
Full-stack development
Managed and planned a project to migrate an existing application to a new software stack
Agile project approach
Winfried Nickel
Last position:
Test Manager & Test Automation Engineer at Miele
Create test cases from specifications and agreements
Automate own test cases and those from other sources (e.g. bugs, other testers' test cases)
Manage test cases, check for updates, adjust or discard if needed
Create test sessions, assign testers, test myself (manual & automated)
Perform process and user interface tests on T2 premium dryers
Participate in Scrum meetings (Daily, Sprint Planning, Retrospective)
Prepare tests, e.g. install software/firmware
Report bugs, track them, and retest
Functional tests
Regression tests
End-to-end tests
Load tests
Automated tests
Exploratory tests
Python, pytest, Robot Framework, Selenium (REST API analysis)
Pandas framework
PyCharm, GIT
PTC Windchill RVS, Jira, Confluence
Skylab, Miele OS Tool / Miele Communication Tool
DIAdem (TDMS data analysis & visualization)
Boomerang, Postman, SOAP & REST client
SCOPI programs via PADS editor (JavaScript, device tests)
Tom Cernohorsky
Last position:
Web Developer at Puder + Consortio; Feldenkrais Verena Tintelnot; Maxim Gorki Theater; Grunwald & Grundwald Architektur und Städtebau; Wanderkino
- Implementation and updates of various websites for:
- Puder + Consortio
- Feldenkrais Verena Tintelnot
- "Mely Kiyak hat Kunst" at the Maxim Gorki Theater
- Grunwald & Grundwald Architektur und Städtebau
- Wanderkino
Mirzashomol Karshiev
Last position:
Software Developer - Working Student at STAGETEC GmbH
- Built a Java OSGi microservice for Stagenet NXCT devices using the Ember+ protocol, enabling reliable communication and centralized control of 150+ devices across the network.
- Designed and implemented real-time monitoring dashboard tracking health statuses of 10,000+ virtual devices using Java OSGi, React and D3.js.
- Developed user authentication and role management directory server that improved security and access control using OpenLDAP.
- Created 10+ reusable React components and optimized performance by 25% using React Profiler.
Discover over 15,000 top freelancers
Statistics of experts using Cypher
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
75%
Doctorate
25%
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 Germany 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 Germany using Cypher
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
Graph query language
Cypher is the declarative query language used to work with graph data, most often in Neo4j and closely related graph tools. It lets specialists read, create, update, and delete nodes, relationships, and properties with clear patterns. Companies use it when connected data matters more than tables.
What teams build
- Graph search and content discovery
- Recommendation and matching logic
- Fraud, risk, and link analysis
- Network, dependency, and path queries
Cypher is a fit for systems that need fast traversal across relationships and readable query logic for complex connections.
Tools and ecosystem
Strong professionals know Neo4j, schema design for graphs, indexes, constraints, and query planning. They also work with drivers, APIs, import tools, and admin tasks around backups, access, and performance checks. In Germany, this often sits inside product, data, or platform teams that already run mixed stacks.
When companies bring in experts
- A graph model needs to replace a relational workaround
- Queries are slow, unclear, or hard to maintain
- A migration to Neo4j or another graph store is underway
- A team needs help with domain modelling or traversal logic
Freelance support is common for focused delivery, audits, and hands-on pairing with in-house specialists.
What good experts do
A strong Cypher specialist does more than write queries. They understand data shape, cardinality, and execution plans, and they can simplify patterns without losing meaning. Good work is precise, readable, and built for change.
Where it fits best
Cypher is used in places where relationships drive the product: identity graphs, knowledge graphs, logistics links, customer journeys, and security analysis. It is also common in proofs of concept that need to prove value before a wider graph rollout. For Germany-based teams, remote work is often enough, but on-site time can help with data discovery and stakeholder alignment.
Frequently asked questions
Need clarity? These are the questions we hear most often about Cypher.
Cypher is used to query graph data in Neo4j and similar graph systems. Companies use it for relationship-heavy work such as recommendations, fraud checks, network analysis, and knowledge graphs. It is a good fit when paths and connections matter more than flat records.
Cypher is built for graphs, while SQL is built for tables. SQL can model relationships, but Cypher usually makes multi-hop traversal easier to read and maintain. If the core problem is connected data, graph queries are often a better fit than joins.
Cypher is the query language, and Neo4j is the graph database most closely associated with it. People often search for both terms together because many projects use Cypher inside Neo4j. A freelancer should be comfortable with the language and the graph model behind it.
A strong Cypher specialist usually also knows graph modelling, Neo4j administration basics, and how to work with application drivers or APIs. For larger systems, knowledge of performance tuning, data import, and access control helps a lot. Clear communication matters too, because graph models are often reviewed with product and data teams.
A Cypher project can start with a focused expert if the graph model is simple and the scope is clear. More complex work, such as migrations, performance tuning, or domain redesign, benefits from deeper graph experience. The key is proven work on similar query patterns, not generic database knowledge.
Yes, Cypher work is often done remotely, especially for query design, model reviews, and debugging. For Germany-based teams, remote collaboration works well when data access and stakeholders are organized. On-site sessions can help at the start of a project when the graph structure is still being defined.
A good Cypher freelancer writes queries that are clear, efficient, and aligned with the domain model. Look for someone who can explain why a pattern works, how it affects the execution plan, and where indexes or constraints help. Strong specialists also ask about data shape before writing the first query.
Cypher is usually the better choice when the value is in traversing relationships, not aggregating rows. That includes recommendations, fraud rings, dependency graphs, and entity linking. If the same question needs many joins or recursive logic in SQL, a graph approach may be simpler.
The average hourly rate of freelancers in Germany who have used Cypher in their recent projects is 91 €, which corresponds to a daily rate of about 726 € based on an 8-hour working day.
Of the freelancers in Germany who have used Cypher in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Germany who have used Cypher in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used Cypher in their recent projects are German (100%), English (100%), and Spanish (17%).
The most common industries among freelancers in Germany who have used Cypher in their recent projects are Information Technology (92%), Automotive (58%), and Banking and Finance (58%).
The most common business areas among freelancers in Germany who have used Cypher in their recent projects are Information Technology (100%), Product Development (100%), and Research and Development (75%).
Main locations of FRATCH Experts, who have recently used Cypher
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
