Senior AI Engineer | Senior Full-Stack Engineer | Cloud Engineer

8/2025 – offen

Architected and maintained scalable financial planning and business modelling web applications using ASP.NET Core (.NET 9), C#, Angular, and Azure cloud services. Redesigned the multi-year Financial forecasting module by decomposing a monolithic service into independently testable components, cutting calculation time by ~40% and enabling concurrent model execution for enterprise clients.

•Engineered interactive financial dashboards in Angular using DevExpress Charting libraries. Built a custom P&L drill-down visualization widget enabling finance teams to navigate from annual summaries to daily transaction-level data, measurably improving decision-making speed and forecast adoption across user groups.

•Implemented and maintained RESTful APIs supporting complex financial models, scenario comparison, multi-currency variance analysis, and rolling budget endpoints, backed by optimized SQL Server stored procedures, Entity Framework queries, and targeted index strategies.

•Designed and consolidated CI/CD workflows using Azure Pipelines and TeamCity, replacing a fragmented multi-team build process with a single automated pipeline. Migrated package repositories to Azure Artifacts and JFrog Artifactory, eliminating cross-team dependency conflicts and improving build reproducibility across environments.

•Integrated multiple BI and reporting platforms including Power BI, Bold BI, Telerik, and DevExpress, into the dashboard layer, enabling self-service reporting for non-technical stakeholders. Refactored legacy SSIS packages and SSRS stored procedures, reducing average report generation time from ~12 seconds to under 3 seconds.

•Designed a centralized Elasticsearch-based logging and observability system aggregating events from development, staging, and production environments. This unified observability layer reduced mean-time-to-root-cause from hours to minutes and proactively surfaced memory leak patterns in the .NET service layer before user impact occurred.

•Led AI-assisted development adoption using GitHub Copilot and structured prompt engineering practices, reducing boilerplate generation time and increasing code consistency across sprint deliverables. Integrated Claude Code into the development lifecycle to automate refactoring of legacy financial model logic and Angular component scaffolding, significantly increasing sprint velocity.

•Designed and prototyped an Agentic AI financial insight generation system using Azure OpenAI (GPT-4o): architected autonomous AI Agents that synthesized multi-year P&L and cash-flow model data into contextual natural-language forecasting narratives.


•Established a robust LLMOps and evaluation framework tracking 200+ prompt-response trajectories across diverse financial scenarios, applying semantic similarity scoring, analyst expert review, and iterative prompt refinement, reducing hallucination rate by ~40% in domain-specific financial queries.

•Laid the architectural foundation for an AI-powered analytics augmentation layer within the financial dashboard, designing the integration interface between Azure OpenAI streaming API calls and the Angular front-end, including user feedback collection to support continuous model quality improvement loops.

•Implemented secure data handling and access control practices: enforced OAuth 2.0 and JWT-based API authentication, applied RBAC over financial model data, implemented comprehensive audit logging for all model state changes, and added data validation guardrails, ensuring the platform met data security standards expected by regulated business clients.

•Prototyped and evaluated Blazor Server as a candidate replacement for legacy MVC Razor views in the financial reporting module. Assessed Blazor's component model, real-time update capabilities via SignalR integration, and server-side rendering performance for data-intensive financial tables, producing a technical evaluation report that informed the team's front-end architecture roadmap decisions.

DevOps-Ingenieur, Full Stack Developer

3/2025 – 6/2026

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Architected a production-grade RAG (Retrieval-Augmented Generation) platform using LangGraph for multi-agent orchestration within GESDA's Science Breakthrough Radar, a system connecting global scientific advancements with policymakers. Designed the end-to-end pipeline using Node.js microservices, Azure Functions, Azure Storage, Azure AI Search (hybrid vector + keyword search), and Azure OpenAI embeddings for semantically accurate retrieval across thousands of scientific papers and policy documents.
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Built and tuned AI embedding pipelines using Azure OpenAI's text-embedding-3-large model. Implemented sliding-window chunking with contextual overlap to preserve semantic fidelity across long-form scientific content, achieving sub-200ms query latency at scale across multi-region Azure AI Search indexes.
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Designed and executed structured LLMOps evaluation cycles to assess RAG system quality: tracked retrieval precision, answer relevance, and faithfulness using RAGAS-inspired metrics; conducted trajectory analysis across 300+ query-context-answer triplets; iteratively tuned embedding parameters, chunk sizes, and re-ranking strategies, tracking all experiments using MLflow for reproducible experiment management.
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Built scalable AI data ingestion pipelines using Azure Data Factory and Azure Databricks (PySpark) to process, enrich, and index large-scale scientific datasets from heterogeneous publishing sources, implementing MCP (Model Context Protocol) to securely connect data streams to the LLM layer. Designed Python/PySpark transformation logic to normalize, deduplicate, and vectorize incoming data before indexing into Azure AI Search.
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Integrated Azure Cosmos DB (multi-region, 99.999% SLA) to manage high-velocity scientific content metadata and embedding indexes for the Science Breakthrough Radar, ensuring sub-10ms read latency for globally distributed users.
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Developed the frontend content layer using Next.js and React integrated with Strapi CMS as a headless content system. Engineered custom React hooks and higher-order components to manage async AI search state, delivering streaming-style result updates to end users. Migrated legacy Redux Flux state patterns to Redux Toolkit while maintaining full backward compatibility, with end-to-end Cypress test coverage.
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Configured multi-environment Azure infrastructure (development, staging, production) via Terraform IaC, ensuring full environment parity. Designed Azure DevOps CI/CD pipelines with artifact management through JFrog Artifactory, reducing deployment cycle time and eliminating build configuration drift.

Full Stack Developer, Infrastrukturarchitektur, Software Architecture, Softwareentwickler

9/2022 – 12/2024

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Technologies: Proficient in ASP.NET Core, .NET 8, C#.NET, and Web API.
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Market Data Software Support: Expertise in ETL processes and creating data extraction solutions on the .NET platform.
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Cloud and Infrastructure: Skilled in Azure Applications and Infrastructure as Code (Terraform).
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Monitoring Tools: Developed specialized tools for monitoring data availability, reporting, and ensuring data quality.
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Legacy Systems: Experienced in migrating legacy applications and enhancing existing software.
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Databases: Proficient in SQL Server, Oracle, VB, Kafka, RabbitMQ, and Azure Service Bus.
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Build and Testing: Experienced with Maven and testing frameworks like JUnit.
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Containerization: Expertise in setting up container-based infrastructure as code.
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Data Processes: Proficient in import/export processes, ETL, web scraping, file watching, and mail watching.
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Cloud Solutions: Experienced as a Cloud Solutions Architect with AWS Lambda Functions, S3 Bucket, and Databricks.
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Container Orchestration: Skilled in Docker containers, AWS ECS, and Kubernetes orchestration.
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CI/CD Pipelines: Proficient in Azure Pipelines, Azure Artifacts, JFrog Artifacts, and TeamCity.
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Front-End Development: Experienced in Angular and TypeScript for managing market data projects.
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Testing: Proficient in Unit testing and integration testing using xUnit
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Java Technologies: Skilled in Java, Spring Boot, JPA, Thymeleaf, JUnit, and Oracle.
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Version Control and Agile: Proficient in Git, Jira, Confluence, TFS, Agile (Scrum), Azure DevOps, JWT, and OAuth.
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Web API Development: Skilled in developing Web APIs using C#.NET with SQL Server and Entity Framework.

Mysql, Oracle Database, SQL, .NET-Entwickler, API-Entwickler, .Net Framework (Microsoft), Git, Jira, Microsoft Azure, Amazon Web Services (AWS), ASP.NET