MongoDB Experts in Nuremberg
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Meet FRATCH Experts in Nuremberg, who have recently used MongoDB
David O.
Last position:
Machine Learning Researcher at Pattern Recognition Lab, FAU
- Fine-tuned and evaluated alternative backbone architectures for the AFFGAN handwriting style encoder to better capture writer-specific features, benchmarking against the original baseline architecture and replacing the legacy VGG19 architecture with a custom Transformer-based encoder.
- Extended the system beyond word-level synthesis to line-level handwriting generation, integrating and adapting an existing line-generation architecture to support full-sentence output.
- Deployed the handwriting generation pipeline as a web application, enabling users to select a writing style, input custom text, and instantly generate a corresponding handwriting image.
- Integrated TrOCR into a teacher–student distillation framework to evaluate and improve readability of generated handwriting, improving OCR accuracy by 20% over the baseline.
- Boosted user-study pick-rates by 40%, demonstrating a significant leap in the perceptual quality and realism of the generated handwriting compared to the baseline model.
Tech: PyTorch, Python, GANs, CNN, ViT, TrOCR, Streamlit, CUDA.
Tobias V.
Last position:
Managing Partner at Unwritten GmbH
- Pioneering work in personalized AI: developing a framework for “Interactive Content” (RAG) for novels, lectures, expert debriefing
- Successful launch of Einbug, the Pantopia chatbot, with media coverage (SZ interview)
- Creating compelling AI personalities: AI blog ([link] 100% personalized learning environments, Perry Rhodan, among others.
Johannes K.
Last position:
Software Developer at Hoffmann Engineering Services GmbH
- Software development
- Technical design of software architecture and design (considering functional and non-functional requirements)
- Frontend and Backend
- Refactorings
- Code reviews
- Unit tests
- Automated integration tests
- E2E tests
Global Identity Services (GIS) is the identity provider for the Digital Services Platform (DSP). GIS is responsible for authenticating and authorizing end users and other DSP services by issuing security tokens. This includes:
- Identity management (e.g., user registration, password reset and change, user profiles)
- Management of roles and permissions
- Single Sign-On (SSO) across DSP services
- Management of OAuth resources and terms and conditions
Ioan D.
Last position:
Senior Software Developer at ING
- Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
- Analysis, design, development, and testing of new requirements for Optimmo, construction financing software.
- Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
- Analysis, design, development, and testing of the Wicket Optimmo application.
- Analysis, design, development, and testing of kredit-baufi batch programs.
- Migration of kredit-baufi batches to RHEL9.
- CiL SCS Consumer Pacts with Finagle.
- CiL ScS Touch Point Architecture Integration.
- Team size: 10.
- Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, Gitlab, JIRA, Confluence, git, Spring 6.0, Sping Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, Intellij IDEA, Wicket 9 and 10, Istio.
Si T.
Last position:
Senior Software Architect at Anonymous (European Payment Provider)
- Development of a new innovative payment product for the European market with the aim of establishing an alternative to the existing global players.
- Set-up and scaling of the software development processes and teams.
- Architect and implementation of the business processes in an event sourcing microservice architecture.
- Implementation on a prototype in the context of the Digital Euro.
- Technologies: Ktor (Kotlin), AWS Managed Kubernetes with Fargate, MongoDB, React, ElasticSearch, KoTest, Gradle, Agile Development, Pair Programming, GitHub Actions, Gradle, SonarQube
Andreas V.
Last position:
Senior Software Developer, Architect at ifm Solutions GmbH
- IoT platform to connect, transform and get actionable results
- Built a microservice observability solution to improve insights for developers and operations teams
- Made advanced performance optimizations in .NET code, databases and time series
- Provided architectural advice to developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies, including time series databases and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Ashmi J.
Last position:
Software Developer at Myrix Labs
- Engineered high-performance APIs with FastAPI + MongoDB, integrating live weather data (NOAA, NWS).
- Developed an AI chatbot with OpenAI APIs — context-aware by location, profession & interests.
- Created admin dashboard APIs for real-time monitoring and zero-downtime configuration.
- Integrated Stripe Embedded Payments with secure transactions & subscription management via webhooks.
Vasuraj B.
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Ekaansh K.
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Igor J.
Last position:
Software Engineer - OCPP Charge Point at dezony GmbH
Integrated latest hardware revision including RFID edition and established cloud communication using OCPP1.6
Developed a versatile system for seamless communication, monitoring, and control with various backend solutions to improve user charging experience
Technologies: TypeScript, JavaScript, Node.js, GitLab CI/CD, gRPC, OCPP1.6
Discover over 15,000 top freelancers
Statistics of experts using MongoDB
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)
Position duration
1.9 years (Germany: 2.1 years)
Positions per freelancer
8 (Germany: 11)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 92%)
Master's degree or higher
70% (Germany: 57%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Nuremberg using MongoDB
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
MongoDB 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%)
- Automotive (40%)
- Banking and Finance (40%)
- Manufacturing (40%)
- Professional Services (40%)
- Education (30%)
- Energy (20%)
- Government and Administration (20%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Document database foundations
MongoDB is a document-oriented NoSQL database that stores records as flexible BSON documents in collections. It suits applications where data structures evolve, related information is retrieved together, and teams need to scale read and write workloads without forcing every record into rigid relational tables. Its official product name is MongoDB; Mongo is the common short form.
Applications and workloads
Companies use MongoDB for content platforms, product catalogs, customer profiles, event data, mobile backends and real-time application services. It is also useful for workloads that combine varied data with rapid iteration, such as personalization, location-aware search and operational dashboards.
- Model documents and collections around application access patterns
- Build APIs and services with reliable CRUD and aggregation operations
- Migrate suitable workloads from relational databases
- Integrate search, analytics and event-driven application flows
Atlas and ecosystem
The MongoDB ecosystem includes MongoDB Atlas, the managed cloud service, along with Atlas Search, Atlas Vector Search, Compass and the MongoDB Shell. Specialists also work with official drivers for languages such as Java, JavaScript, Python, C# and Go, plus frameworks, Kubernetes deployments, backup tooling and observability systems.
Scaling and resilience
Strong implementations use replica sets, sharding, indexes, schema validation and carefully designed read and write concerns. Professionals assess query plans, connection pools, workload patterns and failure recovery rather than treating MongoDB as a simple drop-in replacement for SQL. Security work can include authentication, role design, encryption, network controls and audit requirements.
When to bring in specialists
Freelance expertise helps when a team is choosing between MongoDB and a relational database, reshaping a data model, or preparing a production rollout. In Nuremberg, a company may need an expert for on-site workshops, remote delivery or collaboration across German- and English-speaking teams.
- Review an existing schema, index strategy or aggregation pipeline
- Plan a migration, sharding approach or Atlas adoption
- Diagnose slow queries, replication issues or connection failures
- Establish backup, monitoring and disaster-recovery practices
Qualities of strong professionals
The best MongoDB professionals connect database decisions to product behavior and operational risk. They explain when embedding is preferable to referencing, test data access under realistic load, document trade-offs and leave behind repeatable deployment and monitoring practices. Experience with application code, cloud infrastructure and data governance adds practical value.
Frequently asked questions
Quick answers to the questions that come up most around MongoDB.
MongoDB is commonly used for content platforms, catalogs, customer-facing applications, event data and services with changing data structures. Its document model can keep related information together, which often simplifies application reads and supports rapid product iteration.
MongoDB uses flexible documents and collections, while PostgreSQL and similar systems organize data into relational tables with strong joins and constraints. The right choice depends on access patterns, transaction needs, reporting complexity, data relationships and the team’s operational skills.
A strong MongoDB specialist should understand application development, API design, cloud infrastructure, container deployment and observability. Useful adjacent knowledge includes Kubernetes, Atlas, data migration, indexing, security controls and at least one official MongoDB driver.
The required background depends on the assignment, not on a fixed number of years. A schema review may need focused database expertise, while sharding, migration planning or production recovery calls for experience with distributed systems, failure testing and operational ownership.
MongoDB projects are often well suited to remote collaboration when access, environments and operational responsibilities are clearly defined. Teams in Nuremberg may combine remote implementation with on-site workshops, and German or English communication should be agreed before work begins.
MongoDB Atlas is a good fit when a team wants managed provisioning, backups, monitoring, scaling and security features without maintaining every database host itself. A specialist should still assess region choices, network integration, access policies, data residency needs and expected workload behavior.
Look for clear data-modeling decisions, useful indexes, tested backup and recovery procedures, secure access controls and evidence from query analysis. A capable MongoDB professional can explain trade-offs, demonstrate failure handling and document how the system should be operated after handover.
A MongoDB expert may deliver a schema and index review, aggregation pipelines, migration plans, Atlas configuration, deployment automation, monitoring dashboards or recovery runbooks. The scope should also define test data, performance acceptance criteria, security responsibilities and knowledge transfer.
The average hourly rate of freelancers in Nuremberg, Germany who have used MongoDB in their recent projects is 90 €, which corresponds to a daily rate of about 721 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used MongoDB in their recent projects, 100% hold at least a Bachelor's degree and 70% hold at least a Master's degree.
On average, freelancers in Nuremberg, Germany who have used MongoDB in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Nuremberg, Germany who have used MongoDB in their recent projects are German (100%), English (100%), and Russian (20%).
The most common industries among freelancers in Nuremberg, Germany who have used MongoDB in their recent projects are Information Technology (100%), Automotive (40%), and Banking and Finance (40%).
The most common business areas among freelancers in Nuremberg, Germany who have used MongoDB in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (50%).
Main locations of FRATCH Experts, who have recently used MongoDB
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 
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FRATCH CEO
