Raspberry Pi Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Raspberry Pi
Martin Hermann
Last position:
Lead Product Owner at Energy
- Team leadership: Prioritization and coordination of four cross-functional teams.
- Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
- Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
- Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
- Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
- Organizational development: Improving communication and decision-making structures across all organizational levels.
- Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
- Quality assurance: Ensuring high quality standards in processes, services, and deliverables.
Kapil Bhayani
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.
Jan Miltner
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
Afaq Afaq Saeed
Last position:
Master’s Thesis Researcher – Multiview Perception Evaluation at Volkswagen AG
- Developed an evaluation framework for AI-generated multiview driving videos intended for perception and embodied-AI/VLA-related training workflows.
- Designed automated checks for temporal coherence, cross-camera consistency, semantic correctness, and multiview geometric quality, exposing failure modes relevant to autonomous systems.
- Combined classical computer vision, learned visual representations, and vision-language models to convert complex video artifacts into measurable engineering signals.
- Built repeatable benchmarking and failure-analysis workflows to support model comparison, data-quality decisions, and system-improvement discussions.
Ananthraj Narasappa
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.
Hendrik Wagner
Last position:
Software Test and Maintenance Support at Anton Paar ProveTec GmbH
- Add/create test specifications
- Conduct regression tests
- Conduct release tests
- Analyze Jira tickets
- Identify software defects and fix them with C#
Valery Khamenya
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
Muhammad Jamshaid Iqbal
Last position:
Embedded Linux Intern – IoT Sensor Prototype Development at DHL
- Built a modular C++ 20 embedded Linux acquisition system on a Raspberry Pi, synchronizing IMU and dual-camera data streams to sub-millisecond accuracy.
- Integrated retro-reflective and contrast sensors to trigger acquisition and detect gaps between sorter rails.
- Implemented SPI & I2C sensor communication, GPIO interrupt handling with libgpiod, and CSV & JSON output.
- Designed a multi-threaded acquisition pipeline and an SPSC queue between acquisition and writer threads.
- Built a Python/HTML/CSS based web-server and validated the prototype in a DHL warehouse for defect detection.
- Documented software behavior, configuration, and results for maintainable handover and further development.
Deepak Reddy Narra
Last position:
Machine Learning Engineer at go AVA GmbH
- Designed and built a multi-tenant Python/Flask API platform with JWT + API-key authentication, scoped access control, and service-level orchestration as the backbone for AI applications.
- Built a multimodal RAG system with hybrid chunking, dense/sparse embeddings, hybrid retrieval, reranking, and vector search to deliver grounded, high-precision responses across enterprise data.
- Productionized AI workflows with Docker, CI/CD, Redis-backed async job tracking, webhook callbacks, external AI/media service integrations, and runtime health/reliability controls.
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Stefan Wimmer
Last position:
Architect/Software Developer at Global Logistics Support GmbH
Task
- Further development of a new ERP system with Blazor
- Creation 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
Reginald Leonczuk
Last position:
ERP System Redesign (web-based)
PHP and React redesign of a web-based ERP system.
- Development of the header and parts of the navigation
- Development of various modules in React, e.g. calendar, chat, and various tables
Frank Bergmann
Last position:
System Engineer at Frequentis Comsoft
- Migrate company software to RHEL10
- Development in Bash, Python, C, Ansible
Svyetoslav Pidgornyy
Last position:
CTO at Skar Audio
- Main developer in an online retail company
- Built an online shop using the Next.JS React framework
- Integrated the site with dozens of third-party apps using REST and GraphQL APIs
- Built a backend for order management, warehouse management (with iPhone app), and supply management
- Automated invoicing and finances with QuickBooks
David Bleyer
Last position:
Acting Partner at Bliestal Consulting UG
- Redesigning cablewise infrastructure with CAT 8.1 keystones, measuring the speed and quality of the new installation with Pockethernet, documentation at a local saddlery
- CAT 8.1 installation and building a data center, site linking, VPN and VLAN configuration for a local car dealership, implementation of IT-Security standards like virus protection (G Data) and firewalling (OPNSense)
- Relocation of a tax office with redesign of the IT infrastructure, virus protection (G Data) and backup solutions (QNAP)
- Planning, conception and implementation of an inhouse data center, BSI-compliant for commercial laundry (including Proxmox-based virtualization of existing infrastructures, QNAP, G Data, OPNSense, APC)
- Implementation and conception of security solutions in the SME sector
- Collaboration on the IT-security concept for the Bremen network of authorities (in the dLAN network)
- Creation of IT-security concept VOIS (modules MESO, KFZ/iKFZ) including audit preparation for KBA
- Expansion of the IT-security concept for the online service for electronic residence registration (eWA) to include use as an eFA (one-for-all) service (nationwide)
- Expansion of the IT-security concept to include modules wos & wvp
- Concept development for the implementation of DIN SPEC 27076 at MSEs and SMEs
- Creation and evaluation of emergency concepts
- Creation and evaluation of response actions and BCM plans
- Assessment of existing business continuity management (ISO 22301)
- Development of BCM strategy options
- Conducting awareness training
Discover over 15,000 top freelancers
Statistics of experts using Raspberry Pi
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
3.1 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
87%
Master's degree or higher
61%
Doctorate
11%
Certifications per freelancer
2
Most common languages
English, German, French
Speak two or more languages
97%
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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
Raspberry Pi is a small single-board computer used for prototypes, embedded products, and connected devices. Teams choose it when they need Linux, GPIO access, and a low-friction way to test hardware ideas before moving to production hardware. It is also common in labs, kiosks, and industrial pilots.
Where it fits
- Sensor gateways and monitoring units
- Smart home and building control
- Digital signage and media players
- Test rigs, demos, and proof of concept builds
Companies in Germany often use Raspberry Pi when they need on-site hardware work plus remote software support. It is a good fit for teams that want quick iteration with local language communication and clear documentation.
Ecosystem
Strong Raspberry Pi specialists know the board family, Raspberry Pi OS, Linux command line work, and common languages such as Python and C/C++. They also understand GPIO, I2C, SPI, UART, camera modules, storage choices, and basic power and enclosure planning. Good work usually includes scripts, service setup, and reliable deployment notes.
When to bring in help
Bring in freelance expertise when a project needs hardware bring-up, sensor integration, device hardening, or cleanup after a rough prototype. It also helps when teams need help choosing between Raspberry Pi and other SBC options, or when a product must be stabilized for field use. The best experts document wiring, software, and recovery steps clearly.
What strong experts do
- Wire peripherals and validate interfaces
- Set up boot, networking, and services
- Integrate cameras, displays, and sensors
- Tune performance, reliability, and startup behavior
- Prepare handover notes for future maintenance
Strong professionals think beyond the board itself. They check thermal behavior, storage wear, power supply quality, and how the device will be serviced after deployment.
Common project outcomes
Raspberry Pi projects often end as a working prototype, a pilot device, or a small fleet of field units. Deliverables may include install scripts, system images, wiring diagrams, and a clear path to the next hardware revision. For teams in Germany, clean English or German documentation can matter just as much as the code.
Frequently asked questions
Before you brief your next project: the most common questions about Raspberry Pi.
Raspberry Pi is used for prototypes, sensor-based systems, kiosks, media players, and small edge devices. Companies also use it for internal tools, lab setups, and hardware demos where fast iteration matters. It is often chosen when Linux and GPIO access are both needed.
Raspberry Pi is a full Linux computer, so it fits tasks that need networking, files, services, or heavier software. Arduino is better for very simple, real-time microcontroller work. Compared with other SBCs, Raspberry Pi often wins on ecosystem depth and community support.
A strong Raspberry Pi specialist usually knows Linux, Python, basic C/C++, and hardware interfaces like I2C, SPI, and UART. Experience with camera modules, displays, networking, and system services is also useful. For product work, clear documentation and testing habits matter a lot.
A simple Raspberry Pi demo may only need a specialist who can wire hardware and write a short service script. A product or pilot device needs deeper experience with boot behavior, reliability, storage, and power design. The more the device must run unattended, the more important practical field experience becomes.
Bring in Raspberry Pi expertise when the team is stuck on hardware bring-up, sensor integration, or stability problems. Freelance help is also useful when the project needs a quick prototype or a second set of eyes before a demo. It can shorten the path from idea to working device.
Many Raspberry Pi tasks can be done remotely if the device is already assembled and reachable over the network. On-site help is better for wiring, enclosure checks, and debugging power or connector issues. In Germany, a mix of remote software work and occasional on-site hardware sessions is common.
Look for Raspberry Pi specialists who can explain hardware choices, startup flow, and failure points in plain language. Good signs are clean wiring notes, reproducible setup steps, and clear handover documents. If they think about recovery, storage wear, and power stability, that is a strong signal.
The main risks in Raspberry Pi work are power problems, unstable storage, loose wiring, and software that depends on manual setup. Heat, kernel updates, and weak device maintenance plans can also cause trouble later. A good specialist reduces those risks early with testing and documentation.
The average hourly rate of freelancers in Germany who have used Raspberry Pi in their recent projects is 88 €, which corresponds to a daily rate of about 708 € based on an 8-hour working day.
Of the freelancers in Germany who have used Raspberry Pi in their recent projects, 87% hold at least a Bachelor's degree, 61% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Germany who have used Raspberry Pi in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 3.1 years.
The most common languages among freelancers in Germany who have used Raspberry Pi in their recent projects are English (97%), German (95%), and French (15%).
The most common industries among freelancers in Germany who have used Raspberry Pi in their recent projects are Information Technology (92%), Manufacturing (62%), and Automotive (49%).
The most common business areas among freelancers in Germany who have used Raspberry Pi in their recent projects are Information Technology (100%), Product Development (93%), and Quality Assurance (63%).
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
