Raspberry Pi Experts in Munich
matched in minutes from over 15,000 CVsHire experts who build embedded prototypes, IoT gateways and edge-computing systems with Raspberry Pi, Linux and Python. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your project.
Meet FRATCH Experts in Munich, who have recently used Raspberry Pi
Kapil B.
Last position:
Senior Embedded Systems Engineer at BMW group
Testing and verification of high-voltage systems
- Performed integration and system tests for control units in PHEV/EV vehicles using ECU-TEST (TraceTronic), Vector CANoe, CANalyzer, ETAS INCA, Tornado, E-Sys, and EDIABAS.
- Analyzed the interaction of high-voltage control units (including CCU, BMU, inverter, IPB, and IPF) and carried out software updates and flash processes to verify new software versions.
- Worked closely with software, system, and integration teams in an agile development environment to analyze issues and verify new software versions.
Ananthraj N.
Last position:
Founder at sprhava
Leading the end-to-end development of Edge AI-powered smart glasses for visually impaired individuals, aligning product vision with user needs and managing a cross-functional team of data scientists, Android developers, AWS engineers, and hardware specialists.
- Defined product roadmap for Edge AI smart glasses and MVP features through user research, stakeholder interviews, and competitive analysis, ensuring accessibility and real-world usability.
- Developed and validated a PoC for AI-driven cancer cell identification in PET/CT scans, collaborating with medical experts to optimize diagnostic accuracy and clinical relevance.
- Built and scaled a multidisciplinary team of 75+ engineers, interns, and designers across Germany and India, driving cross-border collaboration and iterative prototyping.
- Established strategic partnerships with NGOs, healthcare providers, and advocacy groups to embed inclusivity and patient feedback into product design.
- Drove hands-on hardware-software integration using Raspberry Pi and Jetson Nano of AI models. Initiated and nurtured relationships with suppliers, manufacturers, and ecosystem players to build scalable go-to-market plans.
- Owned critical product decisions, from prototype development to funding strategy, applying a data-informed and impact-driven mindset.
- Fostered a learning-focused culture by facilitating brainstorming sessions and continuous feedback loops between engineering and product.
Achievements:
- Public speaker: Auto.Ai 2025 (Berlin), Wearable technologies 2025 (Munich and Bangalore), MEDICA 2024 (Dusseldorf)
- WMF, Bologna, Italy (June 2024): Only AI startup to be selected from Germany as EBV hero to represent sprhava on global platform
- Medica, Germany (2024): Delivered a speech on AI smart glasses in world's largest Healthcare event.
- Wearable Technologies, Bengaluru, India (Dec 2024): I was a speaker presenting sprhava and its product.
- Venturise Global Challenge (GIM 2025, Bengaluru Palace, Karnataka): sprhava was selected as one of the 16 top startups (ESDM) to present on this global platform
- Wearable Technologies Conference 2025 EUROPE, Munich, Germany (May 2025): Delivered a talk on Edge AI at the Europe's biggest wearable tech event.
- InsurNext Köln, Germany (2025): sprhava was honoured with a booth from Cologne administration.
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Stefan W.
Last position:
Architect/Software Developer at Global Logistics Support GmbH
Task
- Further development of a new ERP system with Blazor
- Creation of e-invoices with the XRechnung and ZUGFeRD format
- UI/UX design Client-server system
- Windows 11 Technology
- Microsoft .NET 9, Git, Azure DevOps, ASP.NET, MSSQL, Blazor Programming languages
- C#, MVVM Development tools
- Microsoft Visual Studio .NET 2022 Database
- MSSQL Industry
- Other
Daniel C.
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Madhava N.
Last position:
Function Developer ADAS at Continental Automotive GmbH through Ferchau GmbH
- Project: Sensor fusion application for traffic participant detection
- Software frameworks: C++ (11,14), Python, Visual Studio, MTS, Qt, GitHub, Jenkins, JIRA, Confluence, Conan, CAN, RTOS, DOORS, CMake
- Refactored and adapted sensor fusion algorithms by processing sensor data (camera and radar) for ACC and EBA as per requirements
- Handled system test issue reports in JIRA
- Tuned Kalman filters and introduced new features to enhance tracking
- Adapted architecture, detailed design (UML) and simulation tool (Qt)
- Conducted unit testing, code reviews and static code analysis in compliance with MISRA standards
- Conducted regression testing to validate software, involved in software releases (CI/CD), KPI evaluation by testing NCAP scenarios
- Flashed ADAS software to target vehicles, used UDS protocol and OBD-II tools for diagnostics and verification
Konstantin M.
Last position:
Architect, Software Developer at IPG Photonics
- Defined initial system and software architecture
- Implemented application modules and hardware control layers
- Built test and mock environments to support validation
- Developed hardware drivers and low-level communication routines
- Authored technical documentation for internal and external stakeholders
- Tools: C/C++, QML, Linux, Windows, Raspberry PI, MQTT, CAN, Serial
Stephan M.
Last position:
SAP
- Consulting and development for VR usage scenarios in industrial contexts
- Digital Twin, Unreal Engine VR deployments, Multi-user networking, Cloud infrastructure
- Technologies: AWS, Google Cloud, other Cloud Services; C++; Unreal Engine 5; Android, Meta Quest
Discover over 15,000 top freelancers
Statistics of experts using Raspberry Pi
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 18 years)
Position duration
2.5 years (Germany: 3.1 years)
Positions per freelancer
14 (Germany: 12)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Business Intelligence, Information Technology, Logistics
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
83% (Germany: 62%)
Doctorate
17% (Germany: 11%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, Hindi
Speak two or more languages
100% (Germany: 97%)
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 Munich 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 Munich using Raspberry Pi
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.
Raspberry Pi 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 (88%)
- Manufacturing (88%)
- Automotive (75%)
- Healthcare (50%)
- Telecommunication (50%)
- Insurance (38%)
- Pharmaceutical (38%)
- Aerospace and Defense (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Platform basics
Raspberry Pi is a family of compact, low-cost single-board computers built for programmable computing, education, prototyping and embedded products. A Raspberry Pi can run Linux, connect to sensors and control hardware through GPIO pins, making it useful far beyond desktop experimentation.
What it builds
Companies use Raspberry Pi for connected devices, digital signage, monitoring units, kiosks, automation controllers and edge-computing nodes. It can collect data locally, process camera streams and connect physical equipment to cloud services. In Munich, it often supports industrial trials, smart-building systems and interactive installations.
- Prototype an IoT device or gateway
- Connect sensors, cameras, displays and actuators
- Create a local control interface
- Prepare a proof of concept for production
Ecosystem and tooling
The ecosystem includes Raspberry Pi OS, Linux, Python, C and JavaScript, along with container tools and hardware libraries. Professionals work with GPIO, I2C, SPI, UART, MQTT, REST APIs and databases. They may also use Docker, Node-RED, OpenCV and cloud services to connect the board to wider systems.
When expertise matters
Freelance specialists are useful when a prototype must become reliable, maintainable and ready for field testing. They select suitable boards and accessories, design enclosure and power requirements, configure secure remote access and create repeatable deployment processes. Strong planning also prevents a prototype from hiding thermal, storage or connectivity problems.
- Hardware interfaces behave safely under real conditions
- Devices recover after power loss or network failure
- Data is protected at the edge and in transit
- Software updates can be managed remotely
Delivery and collaboration
A Raspberry Pi project may combine electronics, embedded Linux, backend services, networking and user interfaces. Remote work is practical when requirements, hardware access and test procedures are clear; on-site sessions can help with wiring, installation and physical debugging. For teams in Munich, language and availability should be agreed before work begins.
Signs of quality
Strong professionals explain trade-offs instead of treating every board as interchangeable. They test boot behavior, power stability, storage health, network recovery and performance under realistic load. Useful deliverables include documented wiring, version-controlled software, provisioning instructions, test results and a clear path from Raspberry Pi prototype to a supported product.
Frequently asked questions
Key details about Raspberry Pi, drawn from the questions we get asked most.
Raspberry Pi is commonly used for IoT gateways, industrial monitoring, digital signage, kiosks, automation prototypes and edge processing. It is especially useful when a team needs flexible Linux-based computing close to sensors or machines.
Raspberry Pi usually offers a full operating system, networking and stronger application support, while Arduino-class microcontrollers suit simpler real-time control and low-power tasks. The right choice depends on boot requirements, hardware timing, energy limits and software complexity.
A strong Raspberry Pi specialist may also understand embedded Linux, Python or C, electronics, GPIO, MQTT, networking, Docker and cloud integration. Experience with secure updates, device provisioning and observability is valuable for systems deployed outside the lab.
The required background depends on the deliverable. A sensor prototype may need focused hardware and scripting skills, while a production-bound device calls for embedded Linux, security, testing, deployment and lifecycle planning. Ask for examples with comparable interfaces and operating conditions.
Yes, much of the Raspberry Pi work can be done remotely through shared repositories, remote access and a well-defined hardware test setup. On-site collaboration in Munich is more useful for wiring, installation, enclosure fitting or debugging issues that cannot be reproduced remotely.
Raspberry Pi can support production systems when the board, power design, storage, enclosure, security model and supply plan fit the product requirements. A specialist should also assess long-term maintenance, update procedures, environmental conditions and the consequences of hardware availability changes.
For a Raspberry Pi engagement, request a clear architecture, wiring documentation, setup instructions, source code and test evidence. For field devices, also ask how the solution handles failed boots, lost connectivity, corrupted storage, remote updates and credential protection.
Look for a Raspberry Pi professional who tests beyond the happy path and explains technical trade-offs in plain language. Their portfolio should show reliable hardware integration, reproducible software setup, sensible security measures and documentation another team can use.
The average hourly rate of freelancers in Munich, Germany who have used Raspberry Pi in their recent projects is 100 €, which corresponds to a daily rate of about 797 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Raspberry Pi in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Munich, Germany who have used Raspberry Pi in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Munich, Germany who have used Raspberry Pi in their recent projects are German (100%), English (100%), and Hindi (38%).
The most common industries among freelancers in Munich, Germany who have used Raspberry Pi in their recent projects are Information Technology (88%), Manufacturing (88%), and Automotive (75%).
The most common business areas among freelancers in Munich, Germany who have used Raspberry Pi in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (88%).
Main locations of FRATCH Experts, who have recently used Raspberry Pi
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 
Berlin 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
