Rust Experts in Berlin

• Designed and implemented a hybrid recommendation system (content-based + collaborative filtering)
• Built end-to-end ML pipelines including data processing, feature engineering, model training, and evaluation
• Developed RAG-based LLM systems using LangChain and vector databases for semantic search and knowledge retrieval
• Established MLOps workflows with MLflow for experiment tracking, versioning, and deployment readiness
• Implemented deep learning models (computer vision & classification) using PyTorch and TensorFlow

• Built and operate a hybrid Kubernetes platform across bare metal and cloud to validate multi-GPU workloads, security-zone isolation, and disaster recovery.
• Operate self-hosted AI coding agents in the platform's Git workflow, from issue triage to pull-request review; every change is gated by manifest diffs and policy checks in CI.
• Co-developed a sensor-fusion and GPU edge-inference platform selected by the European Defense Tech Hub from 50 solutions for field testing.

IOG (IOHK), is one of the world's pre-eminent blockchain infrastructure research and engineering companies.

• Converted a lingering R&D project into a cohesive, production-ready testnet; built and scaled the 35-member engineering team (Core, QA, SRE) to achieve this goal.
• Defined strategic direction and aligned technology development with business objectives as a key member of the leadership.
• Optimized software development processes and implemented agile methodologies, enhancing operational efficiency and code security.
• Delivered projects in a fast-paced startup environment through effective project management and resource allocation.

• Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability

• Introduced object scope cache to the remote storage layer to avoid I/O churn

• Working on refactoring WAL to support remote storage

• Taking care of the health of the systems as well as designing the operational story and bringing them to production

• Technologies: LSM, WAL, Arrow, Parquet, Rust

• Crypto quant strategy development, automated trade execution, onchain data client (Ethereum / Solana)
• Data and trade architecture development for liquidity provision

• Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
• Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
• Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
• Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
• Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
• Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers

• 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.

• Led engineering execution: roadmap planning, capacity alignment, risk management, dependencies, and delivery tracking.
• Consolidated multiple payroll product lines into a unified SaaS platform on Dynamics 365 Business Central, enabling scalable post-merger operations and reducing operational complexity across the portfolio.
• Restructured engineering and product teams in a remote-first setting across Germany, Austria and Poland, consisting of five cross-functional units: compliance/enabling, platform, DevOps and two stream-aligned teams with total FTE depending on phase of reorganisation.
• Rebuilt the mid-level leadership layer and mentored engineering leaders, establishing a leadership pipeline and strengthening architectural decision-making across teams for scalable growth, delivery ownership and predictability.
• Designed platform foundations and system boundaries using Team Topologies aligned structures, enabling scalable ownership, clear interfaces and parallel development across distributed teams.
• Spearheaded AI transformation by implementing AI-assisted SDLC practices using SpecKit and GitHub Actions for automated, executable specifications, while delivering agentic product capabilities by securely exposing platform data and services to AI agents and copilots via RAG-based retrieval pipelines and MCP-style extensions.
• Drove modularisation of tightly coupled legacy logic into independently deployable services, improving maintainability, testability and architectural clarity while preserving continuity through targeted, low-risk extraction rather than full rewrites.
• Established observability, CI/CD and DevOps governance as platform capabilities, increasing automated compliance gates from 25% to 75% and improving deployment cadence by 40% across 15+ product versions.
• Improved operational resilience using DORA-aligned practices (lead time ↓50%, SaaS MTTR ↓85%), strengthening reliability and reducing support overhead.
• Coordinated engineering recovery for the German payroll platform during a company-wide P0 ransomware incident; restored platform continuity within 72h, validated data integrity, and rolled out hardened runbooks and automated recovery playbooks.
• Responsible for budget compliance and cost oversight in Engineering, with limited P&L responsibility and participating in the annual COGS/OPEX/CAPEX planning cycle.

• Built full CI/CD pipelines using GitHub Actions, Docker Compose, PostgreSQL, PHPStan, Newman, Gitleaks, Trivy, SQL validation, and HTMLExtra reporting.
• Implemented automated SQL import in CI (docker-entrypoint-initdb.d) and custom Postman collection merging with Node.js for deterministic API testing.
• Created organization wide PR auto labeling workflow and a Developer Mapping System (GitHub, Developer, Discord) for targeted CI notifications.
• Developed full local DevOps environment (Dockerfile.local, Nginx and Supervisor) and a 400+ line Makefile supporting CI2, local CI replication, testing, monitoring, and pre-commit checks.
• Built strict SQL validation system enforcing safe migration rules and blocking unsafe PRs.
• Automated QA reporting: HTMLExtra, GitHub Pages deployment and auto pruning.
• Implemented production API monitoring (Bash, Python, cron and Telegram alerts).
• Built and deployed Mintbot automation (GraphQL queries, retries, logging, cron).
• Designed backend and database deployment automation (SQL diff detection, DB cloning, SSH ProxyJump deployment, rollback logic, Discord notifications).
• Created reusable workflow library (Discord messaging, artifact upload, Trivy, Gitleaks, branch sync, auto update PR, auto label).
• Designed internal DevOps Dashboard architecture for CI health, PR freshness, repo analytics.
• Built GHCR base image pipelines with FFmpeg, Rust, and PHP extensions for faster CI builds.
• Standardized .github/ documentation, naming conventions, workflow structures.
• Introduced Dependabot for the backend repository and built Cloudflare Worker for CVE alerts to Discord.
• Implemented GitHub Actions enforcement: required checks, blocked outdated PRs, protected branches, mandatory reviews.

• Built a warehouse native customer data platform from scratch
• Successfully onboarded the first customer
• Built the first engineering team of 3 engineers
• Raised 1M€ in venture capital