Machine Learning Experts in Switzerland

Engaged by one of Switzerland’s largest insurance groups for spanish SAP rollout following the acquisition of Caser (Spain), for ongoing support and S/4HANA transformation initiatives covering all Market Units (CH, ES, DE, AT, FR, IT).

Key areas: FI-AP, FI-AR, Payments, Bank Accounting, Cash Management, S/4HANA transformation, eInvoicing, eReporting, Business Partner

• SAP Rollout: Led end-to-end FI-AP, FI-AR, Payments, and Bank Reconciliation rollout for acquired Caser entities in Spain (Dec 2020 – Mar 2022), including full Spanish localisation.
• Integration with FSCD: Redesigned bank statement incoming payments integration in FSCD from custom to SAP standard solution, significantly increasing straight-through processing rates.
• Payments: Retired legacy custom payment trees; implemented SAP standard CGI payment trees and executed migration from ISO 20022 v2009 to v2019.
• Implemented a 1 GL account per House Bank (HBKID) concept with multiple Bank Account IDs (HKTID), reducing the total number of bank GL accounts by over 90%.
• Spanish localization: Configured and deployed Mod 180, 190, 347, 349 and SII Reporting for Spain mainland and Canary Islands using SAP eDocument (DRC) and SAP BTP Webservice, processing 2 million invoices annually, Spanish Direct & Indirect Method Cash Flow Statements (Insurance & Non-Insurance) fully reconciled
• Migration: Used SAP AIF to migrate AR/AP master data, open items, SEPA mandates, and complete GL documents for multiple company code merges (hundreds of thousands of records); leveraged Power BI/Power Query for data transformation.
• Bank Reconciliation: Achieved 60%+ automatic bank reconciliation across MU ES, CH, and DE using CSB43, MT940, and CAMT.053/054 formats, including custom improvements (tax-number-based customer/vendor matching, fuzzy search), and co-implemented the bank statement interface cockpit in SAP AIF. Integrated MX Camt from Swift Finplus and made transition from ISO20022 v2009 to v2019
• Worked on S/4HANA convergence and wrote concept work for SAP Cash Management & Treasury and eInvoicing/eReporting transformation.
• Currently leading the design for Business Partner Migration using SAP DRF and SAP AIF for Helvetia Baloise Integration Project and Harmonization of all BP interfaces.
• Currently leading Requirements Engineering for eInvoicing & eReporting for Italy, France and Spain, modelling Flows in SAP Signavio.

• 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)

AI platforms

• Contributing to the training of all top 5 US large language models through multilingual ML projects, spanning RLHF, evaluations, rubrics, conversations and safety initiatives
• Working across a diverse range of training methodologies, supporting model alignment and quality improvement in multiple languages

• 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."

Led implementation of an Azure cloud-based, event-driven enterprise integration platform connecting Salesforce, Momentus(event) and ERP applications. Reduced overall costs by 60%, lowered operational errors to under 1%, and delivered on time.

• Led the full project lifecycle from initiation to delivery using agile and hybrid methods - platform vision, feasibility, technical blueprint, architecture, implementation, integration, testing, rollout and business adoption.
• Built the engineering team from the ground up, leading teams across Switzerland, Bulgaria and India using Scrum and Kanban; established Jira, Confluence, Asana and SharePoint for delivery and reporting.
• Established and managed frequent steering meetings, reporting that gave stakeholders transparency and drove key decision-making.

• 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.

• Intelligent Document Processing Engine with OCR & Computer Vision: Architected the end-to-end AI pipeline at the core of the SQPS GenAI document-processing product, which turns scanned paper and PDF batches into organised, searchable documents, combining image pre-processing, OCR and layout analysis for mixed-quality scans. Technologies: Python, OpenCV, Tesseract / PaddleOCR, PyTorch, FastAPI
• Automatic Document Splitting & Classification: Developed models that detect where one document ends and the next begins inside a single multi-document scan, and classify each one by type (invoices, contracts, letters, reports) to enable fully automated filing. Technologies: Python, PyTorch, scikit-learn, Hugging Face Transformers
• Information Extraction & Intelligent File Naming with LLMs: Implemented an LLM-based GenAI extraction system that reads dates, names and reference numbers from unstructured documents and uses them to generate consistent, rule-based file names, with configurable naming conventions per organisation. Technologies: Python, LangChain, OpenAI, SentenceTransformers, SQL

• Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
• Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
• Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
• Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
• Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
• Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
• Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
• Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations

• Analysis of the current situation and repositioning of the brand
• Building up recruiting, sales, and customer support
• Planning for trade fair participation
• Establishing a sales process
• Introducing a CRM tool (Pipedrive)
• Setting up a subsidiary in Switzerland
• Implementing all aspects of temporary staffing

• Lead consultant for SEA campaigns with a senior focus on performance strategy, while managing multi-channel media campaigns across DV360, Meta, TikTok, and YouTube
• AI Marketing: WPP Media State of the Art AI technology
• Collaborate closely with planning and analytics teams to ensure cross-channel consistency, including audience overlap analysis across online video and CTV
• Manage accounts for large European / global brands such as MediaMarkt, Universal Pictures, Emmi, and Nestlé

• Deep-tech venture in enterprise AI model compression for on-premises and edge deployment.
• Built systematic R&D pipeline, business and technical architecture, early investor pipeline, and design partner network across AI verticals, datacentre operators, and robotics/edge computing — from zero.
• Ventures built concurrently, each in a fundamentally different regulatory and technical domain.

• 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

• Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.

• 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.