Python Experts in Switzerland

Swiss University of Applied Sciences institute (HEdA/AAQ accredited); ranked #5 globally for Executive MBA (CEO Magazine 2025)

• Led the research function and chaired the Research Advisory Board.
• Editor of the Journal of Applied Business Research.
• Member of the Thesis and Dissertation Committee.
• Contributed to the AAQ and ACBSP accreditation processes.

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

• Established the Enterprise Architecture function from the ground up for Sulzer Group (~13,500 employees, CHF 3.6B revenue)
• Defined the Technical Governance framework, Target Operating Model, and IT PMO foundation now governing architecture decisions and portfolio demand across all divisions.
• Deployed SAP LeanIX as the authoritative application portfolio system of record - catalogued 500 applications group-wide (140 for Chemtech), onboarded business and IT stakeholders, and initiated integration with ServiceNow to embed architecture data into operational workflows.
• Led the divisional & group wide Application Rationalization initiative
• Decommissioned 15% of the 140 applications Chemtech portfolio, delivering CHF 627k in run-rate savings over two years and materially reducing licensing and support exposure.
• Defined and executed the divisional AI Roadmap in partnership with Sales, Legal, and R&D leadership
• Delivered 4 AI solutions into production (including Sales process harmonization and LLM-based IP conflict detection) from a portfolio of 7 prioritized initiatives.
• Built and owned the 3-year IT Strategic Roadmap for Chemtech
• Aligned cloud and technology architecture with divisional business priorities and a CHF 1.5M annual investment envelope.
• Delivered CHF 500k in cost avoidance by challenging and discontinuing funded but low-value initiatives, demonstrated governance discipline and executive influence, with zero implementation spend.

• Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
• Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
• Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
• Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
• Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
• Optimized UNX universes, reducing query execution time by 40%.
• Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.

Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.

• UX research, UX concept development, and UX design for an AI dialogue system with information on events, locations, public transport timetables, and special trips. Observations, remote user tests, session recordings, analytics evaluations, RapidUserTests, prototyping, etc., using Figma/Figma Make, Claude Design, and OpenAI Codex (Design)

• Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
• Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
• Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
• Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
• Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
• Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
• Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."

• Verified baseline compliance against MAS audit findings
• Developed technical architecture concepts for 30 technologies to create hardening standard artifacts
• Identified and developed automation opportunities for given technologies based on CIS
• Developed standard baseline configurations based on internal security standards
• Responsible for developing Cloud Native Application Protection Platform (CNAPP) architecture artifacts based on the Azure cloud platform
• Responsible for RFQs and RFPs for different CNAPP solutions (Qualys Total Cloud, CrowdStrike, Azure Security Center)
• Supported compliance verification and validation through automated scripts for a sample population of IT devices and instances
• Responsible for the full vulnerability management lifecycle using Nexpose, including remediation, reporting, and integrating results with Splunk, HPSM, and Tableau
• Supported MAS audits

• Built an AI operating model in which specialized agents work with clear roles, precise briefings, review standards and governance boundaries; decision-making responsibility remains with humans.
• AI Transformation Lab as a real-world validation environment for agentic workflows, local/cloud AI models, automation and human-in-the-loop governance (details above).
• Applied transformation principles to AI: ownership, risk control, stakeholder alignment, quality review, traceability, delivery discipline; DEV/TEST/PROD mindset.

ODCUS makes sure AI works alongside people in the day-to-day operations of Swiss SMEs while keeping their data secure: vendor-independent, pragmatic and without hidden agendas. We make a company's knowledge useful to AI, automate workflows and protect what matters.

I transform IT from a cost factor into a competitive advantage. As the founder of ODCUS, I advise Swiss SMEs and mid-sized companies—independently, with a focus on results and without hidden agendas.

What drives me: Too many companies invest in technology without knowing its business value. That is where we come in: we always advise on IT in the context of the business and its success.

My focus areas:

• Cybersecurity – Pragmatic protection that fits the business
• Compliance – NIS2, ISO 27001, EU AI Act without excessive bureaucracy
• IT costs – Create transparency, eliminate waste
• AI – From pilot project to measurable value creation

• 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.

• Architected and implemented a bidirectional USB-C 3.0 Power Delivery (PD/DRP) system for 24V battery charging, successfully minimizing software integration risks through targeted feasibility studies.
• Integrated CAN, USB 3.0, Gigabit-Ethernet, and Audio-Codec interfaces in Altium Designer, successfully delivering the complete system schematic ready for board redesign.

ACHIEVEMENTS:

• Rescued a failing (military) legacy project by reverse engineering undocumented hardware, successfully resolving critical design flaws and consolidating the Altium project.

MVP app for shock logger to monitor and analyze transport data via BLE as a Kotlin Multiplatform solution for Android and iOS.

• Owned and managed the product roadmap and backlog for the Consumer Banker reporting framework, prioritising features and driving iterative delivery of banker scorecards and network performance reporting in an agile environment.
• Developed and iterated portfolio financial reporting on a weekly cadence based on stakeholder feedback, replacing manual PowerPoint packs and saving the program hours of effort weekly.
• Integrated Generative AI (MS Copilot) to automate data lineage documentation across a large legacy codebase, eliminating est. 6 months of analyst effort and accelerating data governance outcomes.
• Led a unified data delivery approach and standards across five UNITE initiatives (~CHF 115m portfolio) supporting consolidation of legacy systems into the Digital Banker platform.
• Led cross-functional delivery team of 3 while also drawing on BA and DA talent pools, coordinating analytical resource across workstreams to accelerate data, reporting & governance outcomes.

• 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