Raspberry Pi Experts in Munich
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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.
Valery K.
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development 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
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.
Stefan W.
Last position:
Architect/Software Developer at Global Logistics Support GmbH
Tasks
- Further development of a new ERP system with Blazor
- Generation of e-invoices in the XRechnung and Zugferd formats
- 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
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
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)
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
23 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: 61%)
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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Munich 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 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 29 Oct 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
Industrial Edge Computing and Prototyping
Raspberry Pi single-board computers serve as agile platforms for rapid hardware prototyping, industrial automation, and commercial edge appliances. Teams rely on these boards to validate embedded product concepts before committing to custom silicon designs or expensive ASIC production runs.
Core Hardware Ecosystem and Compute Modules
The ecosystem spans consumer boards like Raspberry Pi 5 to industrial variants like the Raspberry Pi Compute Module 4 (CM4). Production deployments frequently build carrier boards around the system on module format to deliver specialized peripheral connectivity and robust power delivery.
Typical Applications in Munich Industry
- Industrial IoT gateways collecting Modbus and CAN bus telemetry
- Edge machine learning appliances processing video streams on device
- Automated test benches and hardware-in-the-loop test rigs for automotive
- Digital signage displays and interactive kiosk controllers
- Smart facility monitoring nodes reporting over MQTT to cloud backends
Linux Kernel and Embedded Tooling
Proficient specialists maintain custom Linux images using Yocto Project or Buildroot rather than default desktop operating systems. They configure device tree overlays, manage GPIO, I2C, and SPI bus interfaces, and optimize real-time kernel capabilities to maintain deterministic execution.
Signals Demanding Specialized Freelance Support
Companies bring in external talent when internal teams lack low-level board bring-up expertise or struggle to harden prototypes for continuous field operation. Engaging independent talent solves critical bottlenecks in driver development, thermal throttling prevention, and remote firmware deployment architectures.
Qualifications of Seasoned Specialists
Top specialists combine electrical engineering awareness with deep Linux systems programming in C, C++, or Rust. They design for electromagnetic compatibility, implement hardware watchdogs, and build reliable over-the-air update pipelines that protect remote field units from bricking during maintenance cycles.
Frequently asked questions
Key details about Raspberry Pi, drawn from the questions we get asked most.
A Raspberry Pi provides substantial compute power, native networking, and a full Linux environment suited for complex data processing or multimedia tasks. Projects needing simple control loops, instant boot times, or extreme low-power consumption often favor microcontrollers, whereas edge gateways and video processing hubs require full single-board computers.
Yes, especially when using the Raspberry Pi Compute Module integrated into custom carrier boards designed for industrial thermal ranges and clean power regulation. Commercial success requires replacing consumer SD cards with robust eMMC storage or NVMe drives, alongside proper thermal management and electrical isolation.
Experienced specialists rarely run standard Raspberry Pi OS in production, choosing instead tailored Yocto Project or Buildroot distributions. They build application logic using C++, Rust, or Python, manage hardware communication via GPIO, SPI, and I2C buses, and deploy containerized services using lightweight runtimes like k3s or Docker.
Enterprises in Munich frequently hire local professionals to build hardware-in-the-loop testing rigs for automotive electronics, validate IoT sensor integration on factory floors, and build prototypes for cleanroom monitoring. Local presence allows hands-on integration with physical lab equipment and prototype testing benches.
Most software development, board bring-up preparation, and kernel customization on RPi hardware happen remotely using networked development boards. However, initial wiring validation, environmental testing, and assembly integration often benefit from hybrid collaboration or dedicated on-site lab sessions.
A standard Raspberry Pi 4 or 5 carries fixed consumer ports such as USB-A and HDMI, which limit mechanical customization. The Compute Module strips those physical connectors down to high-density board-to-board connectors, allowing engineers to design compact, specialized baseboards tailored to exact industrial enclosures.
Look for candidates with proven experience in embedded Linux, custom PCB carrier design, device tree debugging, and secure boot configurations. Knowledge of industrial communication standards like CAN bus, RS-485, and OPC UA is essential for successful manufacturing deployments.
High-quality deployments configure Raspberry Pi systems with read-only root filesystems, redirecting dynamic logging to RAM disks or isolated partitions. Specialists also configure hardware watchdogs to reset crashed kernels automatically and deploy dual-partition A/B update mechanisms to guarantee uninterrupted operation in the field.
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 23 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 
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Philipp Thomaschewski
FRATCH CEO
