Embedded Systems Experts in Berlin

• Converts natural language into JQL using RAG and pgvector. Returns structured JSON with a query, chart spec, and plain-text answer. A two-stage router answers general questions without touching the JQL pipeline at all.
• Interchangeable LLM backends: Ollama, vLLM, Groq, Anthropic Claude, AWS Bedrock - switchable at runtime, no code changes. Self-healing JQL: on Jira validation failure, feeds error back to LLM, retries up to 4 times. OCI Vault for secrets. Deployed on Oracle Cloud A1 with GPU inference over Tailscale private network. Open source.

• Impact: Arcate turns scattered customer signals into ranked product decisions for B2B product teams. Every initiative is prioritized by revenue at risk. Every decision is traceable from customer quote to board slide. Built solo, deployed in production. Model validated at Kendall's tau = 0.924 vs. senior PM judgment across 60 simulation runs.

• Skills: Artificial Intelligence, AI Agent, Large Language Model (LLM), RAG, Model Context Protocol (MCP), Agentic Workflows, Supabase, TypeScript, Deno, PHP, Stripe, PostgreSQL, Product Strategy, Positioning, GTM

• Capabilities:

• Signal Ingestion: Slack, Intercom, Gong, Salesforce, HubSpot. Signals classified by business severity to prioritize revenue-risk decisions.

• Revenue Scoring: Fermi Leverage model. Initiatives ranked by customer ARR at risk, signal strength, and multi-account confirmation.

• Roadmap Intelligence: Every bet traceable from raw customer signal to scored, board-ready decision.

• Built:

• MCP Server (v0.10.0): 12 tools, JSON-RPC 2.0, Supabase Edge Functions, SHA-256 API key authentication.

• Scoring engine: Log-scaled ARR weighting, sqrt-dampened signal strength, multi-account signal confirmation.

• Agentic Workflows: 18 automated pipelines covering release, provisioning, design QA, guard QA, and signal ingestion via Slack agents.

• AI Skills: 7 codified skills including CEO Prioritizer, Design System Enforcer, MCP QA, Simulation Runner.

• Automated QA: Browser-based screenshot validation of every screen against design tokens on every build.

• Full SaaS: Auth, billing, media pipeline, design system. Deployed solo in production.

• Stack: Supabase (Auth, DB, Edge Functions, Realtime), Stripe, Cloudinary, PHP, TypeScript, Deno

PCB design with Altium, MCU Programming, Prototyping

• Spearheading investor outreach and partnership development as founding MD, building the business case and technical narrative needed to attract initial funding and strategic collaborators in the digital health space
• Designing multi-agent AI systems for autonomous biosignal analysis, orchestrating LLM-based reasoning pipelines with domain-specific medical context to enable intelligent, clinical decision support

• Add/create test specifications
• Conduct regression tests
• Conduct release tests
• Analyze Jira tickets
• Identify software defects and fix them with C#

• Role as RTE for building the Agile Release Train (ART)
• Bringing together agile practices and system engineering
• Setup and facilitation of rituals: ART Sync, Refinement, Coach Sync, PI Planning, System Demo
• Structure and execution of the first PI Planning
• Optimization of program alignments and dependencies
• Set up JIRA & Confluence SAFe structure and workflows

• Vram.run: Rust, TypeScript, HF Inference API with 19 providers, 220+ HW configs, and 30+ cloud GPUs. Search a model to see which API providers serve it, which GPUs can run it locally (and how fast), and what cloud rental would cost. Or search your hardware and see what fits. Also includes a Rust CLI.
• Psychotron: JavaScript, Web Audio API, AudioWorklet, Canvas 2D. Front-end for flash fiction audiobook with Web Audio DSP chain featuring pitch-shifting, 12-voice chorus, flanger, 13-band EQ, and convolver reverb. Includes a 2D canvas effect morphing engine and synchronized teleprompter.
• RecentWork: Swift, macOS, FSEvents, launchd. macOS daemon that watches project directories and maintains a flat folder of symlinks to recently modified files. Homebrew installable.
• Mini-llm: Bash, macOS, launchd, Ollama, llama.cpp, MLX, Open WebUI. Single command that turns a Mac Mini into a headless AI server.
• ThatSlop: JavaScript. Chrome/Firefox extension for AI content detection on LinkedIn and Twitter.
• Smux: Bash, tmux. Human-friendly tmux wrapper that is Homebrew installable.
• Learn Rust Course: Rust. Course on Rust’s memory model for C++ programmers, written from experience of transitioning from C++ to Rust at Irreducible.

• Development of control units for the automotive industry incl. embedded software
• CAN bus, Vector Tools, CANoe
• Support of the development process according to ISO 26262
• Ensuring cyber security standards:
• Key exchange (PKI) between vehicle and control units
• Hardware Security Module (HSM)
• Communication with external service providers (international)
• Development (PCB) of measuring adapters, statistical analysis of sensors
• IoT and embedded software development, backend administration

• Designed and implemented embedded firmware in C/C++ for ARM-based microcontrollers and SoCs (STM32, NXP, Infineon)
• Worked across bare-metal, FreeRTOS, and Embedded Linux environments, contributing to BSP-level functionality, driver bring-up, and system integration
• Built, configured, and validated Embedded Linux systems using Yocto, including image build, boot validation, and runtime debugging
• Developed and executed unit, integration, and system-level tests, including HIL and SIL test scenarios on real hardware and simulated environments
• Created Python and Bash scripts to automate build, test execution, simulation runs, and reporting within CI/CD pipelines (Jenkins, GitLab CI)
• Designed test cases from software and system-level requirements, covering normal operation, edge cases, and failure scenarios
• Performed low-level debugging using JTAG/GDB, analyzing boot issues, timing problems, interrupts, and peripheral behavior
• Developed and validated communication interfaces including UART, SPI, I2C, CAN using logs and external measurement tools
• Used simulation and virtual test environments to validate software behavior prior to hardware availability
• Read and interpreted hardware schematics to understand signal routing, pin multiplexing, and peripheral connections
• Supported PCB design and review activities using Altium tool, assisting with component selection, pin mapping, and bring-up readiness
• Collaborated with cross-functional hardware, firmware, and system teams to clarify requirements, document assumptions, and improve overall test coverage
• Developed web interfaces using HTML, CSS, and JavaScript (ES6) and basic REST API development with Node.js
• Experience testing web applications and building UI automation frameworks using Selenium WebDriver

• Operational management of the company: building teams and infrastructure, developing products, analysis and implementation of IT security measures

• Project assignments in the IT security environment focusing on establishing blue teaming activities (defensive processes and technologies) to defend against cyber attacks

• Conducting red teaming processes, including penetration tests and security analyses for companies

• Consulting on setting up Security Operation Centers and implementing SIEM systems, and building Computer Incident Response Teams (CSIRT)

• Auditor for ISO 9001 and ISO 27001, § 8a, ISO 27019, § 11 1a EnWG, TISAX

• Advising companies in critical infrastructures on information security and compliance with the IT Security Act

• Building SIEM/SOC processes and SOC analyst work (Splunk, ELK-Stack)

• Integrating data into monitoring tools (Prometheus, Grafana)

• Consulting on BSI IT baseline protection, ISO 9001, ISO 27001, BCM, ITIL and risk management

• Security assessments and penetration testing of IT and network architectures

• Train and optimize MAVAE/VAE models in PyTorch to detect anomalies in multivariate time-series sensor data.
• Design preprocessing workflows and evaluation pipelines to improve model accuracy and robustness.
• Benchmark MAVAE performance against baseline statistical and deep learning approaches, presenting comparative insights.
• Collaborate with research supervisors to refine hypotheses and translate experimental findings into deployable research outputs.

• Evaluated 45+ AI use cases and developed a prioritization framework for Siemens’ internal AI roadmap.
• Tested internal tools like DRIM, SiemensGPT, Microsoft Copilot; presented evaluation outcomes to stakeholders.
• Identified performance gaps and improved tool adoption by 65%.
• Supported AI knowledge-sharing initiatives, led tool onboarding sessions, and improved team AI literacy.
• Collaborated with engineering, procurement, and digital teams on tool feedback and strategy alignment.

• FPGA code conversion from AHDL to Verilog and SystemVerilog (Altera Cyclone)
• IDE: Intel Quartus Prime (Altera)
• Code simulation: QuestaSim
• Timing analysis

• Proficient in using JIRA for sprint planning, bug reporting, and task management.
• Modified and enhanced embedded C/C++ firmware code on STM32, ESP32 and ARM-based MCUs and SoCs.
• Debugged and fixed embedded software issues; managed code with Git/GitLab (commits, merge requests, reviews).
• Created and maintained test cases and test plans using Testmo.
• Debugged and validated firmware builds; provided detailed bug reports.
• Executed manual tests across development stages.
• Familiar with RTOS concepts and implementation, including task scheduling and interprocess communication for real-time embedded systems.
• Managed planning and execution of acceptance and regression testing.
• Supported mobile app and system-level testing for audio streaming device.
• Tested communication protocols (HTTP, I2C, SPI, UART) and API interactions.
• Used terminal tools and SSH to debug embedded Linux systems.