PostgreSQL Experts in Switzerland

• Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
• Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
• Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
• Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
• Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
• Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
• Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
• Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
• Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
• Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
• Developed and optimized Algorithms using python libraries like Numpy and Pandas.

• Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
• Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
• Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
• Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
• Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB

• Product strategy, architecture, and technical co-direction
• AI workshops, client onboarding and go-to-market activities
• Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
• Hands-on development of prototypes and production-ready AI integrations
• Consulting clients on AI adoption, workflows, and integration into existing infrastructure
• Collaboration with co-founders on strategic direction
• Collaboration in sales and customer acquisition

Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker

• Led the founding of a startup for AI-based consulting products for dental practices.
• Developed and launched PraxisScore, a data-driven consulting product for economic analysis and corporate consulting of dental practices.
• Held full responsibility for technical implementation, AI integration, and structured startup setup from product idea to public launch at IDS 2025 in under three months.

• Build prototypes, expand AI skills, and practical application in a startup context.
• Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
• Technologies: LangChain, REST, Python, Java, JS, TS, Node.

• Migration of databases from ODA to ExaData
• Migration of databases from ExaData to ExaCC/OCI
• Decreased UCC usage by 10%
• Developing automation scripts using Python
• Performance tuning
• Shrunk development databases from 6 TB to 3 TB using Exadata columnar compression
• Tuned application performance by 30% using inmemory option
• Tuned non-production Exadata by 20% to release CPU resources before ExaCC migration
• Database patching of Oracle 19c
• Basic Ansible scripting for deployments and database cloning
• Developing acconting model for shared Oracle platform
• Migrating single-instance databases to Oracle RAC
• Analysis of RAC issues
• Advising development teams of how to migrate to RAC

• PoC for various platform integration functionalities using Backstage and Crossplane
• Implementation of improvements of developer experience with Azure AVD and DevSpace
• Manage application deployment infrastructure on Kubernetes clusters
• Manage CI/CD platform
• Manage deployments into Kubernetes (Rancher and AKS) and into Azure
• Act as security champion of the DevOps team
• Manage vulnerabilities and support dev teams to manage third-party vulnerabilities using JFrog Xray
• Support building the platform team
• Manage infrastructure as code using Terraform and Atlantis
• Build and integrate a platform and IDP using Crossplane

• Design, operation, and further development of a stable IT environment to ensure smooth CAD and planning operations.

• Implement structured backup and data protection concepts to reduce operational risks and safeguard business-critical data.

• Optimize and secure the web and server infrastructure in a LAMP environment to increase stability, security, and availability.

• Ensure reliable operation of Microsoft 365 and Exchange services for daily business operations.

• Combine technical infrastructure expertise with domain experience in architecture and CAD.

• Designed large-scale systems and APIs serving thousands of concurrent users.
• Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
• Introduced SLO-based observability, improving reliability and recovery flow.
• Optimised cloud and databases, achieving significant cost and latency reduction.
• Delivered LLM, RAG, and document-automation pipelines adopted in production.

• Consulting in ICT, business processes, system architecture, web integration, client-server computing, cross-platform development, responsive web design, social media integration, GUI
• Custom and specialized solutions
• Applications for small and medium-sized enterprises
• Web services, web applications, portals, application extensions (add-ins, plug-ins)
• Database design, interface solutions
• Outsourcing in various industries
• Solutions for other software houses
• Project management and project support (software engineering, coding)

• Worked in mixed teams with several clients
• Performed requirement engineering, proposal and time estimation
• Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
• Customized mobile apps: Now Agent and Now Mobile
• Implemented integrations using the Integration Hub
• Coordinated continuously with clients during development
• Performed testing and helped clients with testing
• Deployed to production and applied main version upgrades and patches
• Managed CMDB, domain separation and asset management
• Integrated between instances at different clients
• Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts

• Deployed and optimized the inference stack on a multi-node DGX B200 cluster across vLLM and SGLang (serving, throughput and latency tuning).
• Built, with a small team, an internal Python library for LM pretraining covering the full training loop: distributed training with PyTorch FSDP, data pipelines, checkpointing, config and hyperparameter management, and experiment tracking.
• Built and evaluated agent scaffolds on interactive game benchmarks similar to ARC-AGI-3, with metrics for how models plan, explore and adapt across multi-step episodes; classified model errors and fed the findings back into scaffold and evaluation design.
• Researched looped transformer architectures.

• Playwright-based API test automation for the Oracle JD Edwards ERP system
• Development of a TypeScript/Node.js test framework with MSSQL database integration
• End-to-end business process automation for order processing, customer management, etc.
• OpenAI integration for automatic PDF document validation
• Jira/Xray integration for automated test reporting with dashboard
• REST API client development with role-based authentication
• Test data management, dynamic ID validation, and cross-test data sharing mechanisms

• Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
• Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
• Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
• Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective