Chief Engineer in Germany

• Joined the initial development team and helped transform an n8n prototype into a production-ready 0-to-1 product in a fast-paced environment.
• Owned delivery across CRM and Twilio integrations, customer communication workflows, and administrative interfaces.
• Collaborated on AI evaluation, microservice architecture, and other cross-functional product and engineering topics.
• Supported the CEO across VC communications, customer acquisition, product positioning, onboarding, documentation, pricing, and sales.

• Acted as an FPGA Subject Matter Expert with hands-on experience in Microchip Technology Libero SoC and PolarFire FPGA/SoC evaluation platforms.
• Identified a bug in an application note and provided a solution.
• Collaborated with Field Application Engineers (FAEs) to analyze, debug, and resolve customer-reported FPGA issues.
• Worked with internal teams to accelerate SPI flash programming by creating an FPGA design that enabled high-speed communication between JTAG and SPI.
• Characterized PolarFire FPGA temperature TVS sensors from -40°C to 100°C, comparing estimated and measured surface temperatures and analyzing junction-to-surface temperature estimation using the Psi-JT thermal parameter.

• Automated driver assessment by programming temporal rule engines to evaluate lane-change execution safety, head-pose mirror checks, indicator usage cycles, and compliance with traffic lights and road signs
• Synchronized real-time traffic sign recognition and multi-state traffic light classification models with time-series CAN-bus telemetry and HD-map spatial priors to grade traffic rule adherence
• Trained and deployed distinct deep learning models optimized for interior cabin monitoring and exterior surrounding-area perception
• Combined perception outputs with camera intrinsics and horizon stability checks to execute 3D ground-plane object distance estimation assuming flat-ground geometry
• Deployed a split-compute edge network across a 10-vehicle fleet via VPN, implementing a zero-allocation host memory pipeline to eliminate frame accumulation latency (6×21 FPS per vehicle)

• Built and scaled a 35-member engineering team (Core Engineering, QA, and SRE) in 12 months, accelerating Midnight’s blockchain development on Parity’s Substrate framework.
• 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.

• Built core parts of formae's infrastructure engine and cloud integrations in Go, managing resource lifecycles across cloud and Kubernetes environments.
• Designed and implemented an extensible plugin architecture and SDK for integrating infrastructure providers and resources, including AWS, Kubernetes and Helm.
• Built agent-native infrastructure workflows exposing formae through MCP to tools including Claude Code, Codex and Cursor.
• Worked directly with prospective customers on technical evaluations, implementation design and migration paths from existing infrastructure workflows to formae.
• Helped evolve formae through its open-source, multi-cloud and cloud platform releases, with a focus on reliable infrastructure orchestration and developer experience.

• Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
• Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
• Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
• Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.

• Held direct line management responsibility for a team of 4 Platform Engineers — owning hiring, performance reviews, and career development — while establishing a shared engineering standards framework and coaching culture that accelerated delivery across client engagements.
• Led a team of engineers to architect a cloud-native voice AI system for a major inspection client, enabling 2,500 field inspectors to document work fully hands-free via real-time transcription and AI agents — eliminating manual data entry across 440,000 inspections per month and reducing per-user cost from $9 to $1. Stack: AWS (DynamoDB, S3, Transcribe, CloudFront, API Gateway, Bedrock), ElevenLabs, Claude.
• Led a team of engineers to automate multi-region Kubernetes cluster management for a global SaaS leader, reducing provisioning time from 3 weeks to under a day and eliminating 90% of configuration errors. Stack: EKS, Terragrunt, Python, Bash, ArgoCD.
• Accelerator - Cloud-Agnostic AI Platform: Architected and delivered a cloud-agnostic, Kubernetes-native platform as an accelerator, enabling multi-tenant, enterprise-scale management of self-hosted LLMs with concurrent deployment of multiple base models and dynamic LoRA adapter serving. Designed production infrastructure using open-source tooling (ArgoCD, Karpenter, vLLM, SGLang) with automated model lifecycle management, API security (Keycloak + LiteLLM), and cost-optimized GPU provisioning.

Working as a full-stack (next.js, Postgres) engineer and consultant to build the core platform with underlying services for location-based comparisons and requests. I’m working on performance optimization on all ends (esp. Postgres queries) and writing product specification and architecture of the platform with another colleague.

• Built multi-tenant warehouse management SaaS: 40 API modules, 150+ routes, real-time updates via SignalR
• Technologies: React, TypeScript, Redux Toolkit, RTK Query, Webpack, .NET 8, PostgreSQL, SignalR, Docker, GitHub Actions
• Landing: Next.js 14, Tailwind CSS, 17 localizations, Stripe payments (SEPA + cards)
• Testing: xUnit (150+ files), Jest, Playwright E2E; CI/CD: Docker, GitHub Actions
• Telegram AI agent: daily inventory reports, shipment alerts and warehouse monitoring delivered to mobile
• Background jobs and scheduled tasks for automated reporting, alerts, and data synchronization
• Built German e-invoicing SaaS (XRechnung, ZUGFeRD), GDPR compliant, multi-tenant architecture
• Technologies: React, TypeScript, RTK Query, Python, FastAPI, PostgreSQL, Redis, Celery; Testing: pytest (294 tests), Playwright
• Implemented async task queues (Celery + Redis) and scheduled jobs for invoice processing, email notifications, and DATEV export
• Developed AI-powered content automation platform: analyzes Git commits, generates and publishes posts to LinkedIn and Discord, responds to GitHub Issues automatically
• Cron-based automated publishing pipeline and scheduled content generation and distribution across platforms
• Multi-LLM architecture (OpenAI, Claude, Gemini) with pluggable provider system and RAG-based knowledge assistant integrated across all SaaS products

• Developing GitHub Actions/pipelines for automatic application deployment
• Supporting the provisioning of Helm charts for the CI/CD infrastructure
• Rebuilding and migrating a Kubernetes cluster using Rancher
• Creating IaC with Terraform for Kubernetes and additional services (monitoring, databases)
• Deploying a highly available Percona Galera cluster (MySQL)
• Implementing a centralized monitoring and logging infrastructure

• Development of a wealth management application for investing in foreign currencies
• Full-stack development with Angular, Spring Boot, OpenShift, Oracle DB, Kafka
• Design and implementation of a microservice architecture
• Integration into Atruvia's BWS system and connection of multiple interfaces between Atruvia and DZ Privatbank
• Greenfield development of the application from the ground up
• Technical responsibility for architecture and interface design
• Close collaboration with business units and external stakeholders

• Lead the software engineering team to develop scalable systems and infrastructure
• Provide architectural guidance, design efficient algorithms, and mentor team members
• Continue responsibilities of software and data engineering in hospitality analytics
• Communicate results and insights to a range of audiences utilizing statistics, machine learning

• Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
• Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
• Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools

• Development and design of products and components in the Kayser product portfolio
• Management of concept and development projects in the HW and SW area for electrical and electronic components from prototype phase to series release
• Coordination with sales departments, internal departments, customers, and suppliers
• Preparation of technical presentations for internal and external meetings
• Commercial and technical evaluation of external service offers
• Coordination and planning of hardware and software scopes
• Support in the industrialization of HW and SW, taking budget costs and quality requirements into account
• Drawing review according to content and formal criteria
• FMEA