Refactoring Experts in Berlin

• Senior software engineer focused on React, TypeScript and AI-assisted product workflows
• Build frontend systems for complex SaaS products, internal tools and operational workflows
• Recent work includes AI evaluation tooling, support reliability analysis and developer-focused QA systems
• Available for freelance and contract engagements, especially remote-first projects

• Add/create test specifications
• Conduct regression tests
• Conduct release tests
• Analyze Jira tickets
• Identify software defects and fix them with C#

• Moss is a spend-management platform for SMEs that bundles corporate cards, web-based applications and reimbursements, AP/procurement and advanced accounting in one place.
• Splits time across Accounting, Spending and Growth tribes, handling requirements gathering, public product design, coding, testing, debugging and internal apps.
• Participates in development and maintenance of the design system/UI kit and supports tooling, documentation and developer experience.
• Builds form-heavy UIs, drawer-based editing, high-density/resilient tables with server-side filters, pagination, column configurations, CSV/Excel export and bulk operations, all wired for permissions and auditability.
• Works with complex cross-entity relationships without a single-schema solution.
• Uses React, Redux Toolkit, styled-components, react-hook-form, React PDF, Vite, Lokalise, React Testing Library and Playwright.

• Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
• Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
• Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
• Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
• Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
• Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
• Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.

• Prototyping the Minimum Viable Offering (MVO) for a SaaS solution for sound creation, aligned with the needs of digital and hardware designers.
• Conducting a product-market-fit analysis using global quantitative and qualitative market research

• Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability

• Introduced object scope cache to the remote storage layer to avoid I/O churn

• Working on refactoring WAL to support remote storage

• Taking care of the health of the systems as well as designing the operational story and bringing them to production

• Technologies: LSM, WAL, Arrow, Parquet, Rust

• Opt-in RAG extension over tenant-owned data sources (SharePoint, Confluence) on existing multi-tenant enterprise AI platform
• Architecture: ADRs, solution evaluations, permission strategy, cost modeling
• End-to-end SharePoint and Confluence connectors: OAuth consent flows, token refresh, metadata sync, search integration
• Permission resolution: ACL indexing at ingestion and query-time verification (document-level security)
• Elasticsearch hybrid search (semantic + keyword) with RRF scoring
• RAG chat with context injection and source citations
• Stack: Elastic Cloud, Elasticsearch, Docker, Northflank, Next.js, React, TypeScript, Prisma, Microsoft Graph API, Atlassian REST API, OAuth 2.0

• Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
• Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
• Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
• Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
• Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
• Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers

• Building a full-stack e-commerce product using AI-assisted development, deliberately returning to hands-on engineering to validate how AI changes software development workflows and team dynamics.
• Exploring VP Technology, Head of Engineering, and Director of Engineering opportunities where hands-on AI experience meets organisational scaling expertise.
• Open to advisory conversations on AI-augmented engineering teams, technology strategy, platform architecture, and organizational design.
• No registered business. No commercial activity.

Intensive upskilling program to expand into fullstack, AI, and accessibility - preparing for freelance Angular/React projects with Next.js, Redux, and LLM integration.

Key achievements:

React - The Complete Guide (incl. Next.js, Redux): Comprehensive course on React Hooks, Redux Toolkit, React Router, Next.js App Router, React Server Components, Form Actions (React 19), authentication, unit testing, TypeScript integration, and fullstack apps with HTTP requests.

Practical Prompt Engineering Masterclass: Hands-on masterclass on prompt design, chain-of-thought, few-shot prompting, and LLM optimization for AI-powered frontend features like accessibility checks.

Understanding TypeScript: Deep dive into TypeScript types, interfaces, generics, and integration with React/Next.js for type-safe, scalable codebases.

Design Thinking: Methods for user-centered design, ideation, prototyping, and iteration - applied to accessible UI/UX concepts.

Web Accessibility Training Course WCAG 2.1 & 2.2 Compliance: Detailed WCAG 2.1/2.2 guidelines, BFSG requirements, audit techniques, ARIA widgets, and screen reader testing for compliant Angular/React applications.

New skills: Next.js, Redux, TypeScript, prompt engineering, WCAG, design thinking.

• Attempted founding of a platform for career development and personal coaching
• Top 3 placement in the Berlin-Brandenburg business plan competition
• Conducted independent market analysis and user research
• Built a comprehensive knowledge graph for roles, skills, and experiences
• Data transformation and setting up data pipelines on Azure

• Built a fully responsive business dashboard with dynamic job analytics visualisation and CMS-integrated content hub (articles, audio, images) with on-demand media loading. Achieved Lighthouse scores of 100 (Accessibility, SEO) and 88 (Performance) on mobile.
• Implemented pixel-perfect UI from Figma designs across 6 pages, adding scroll-triggered animations and unit tests for critical user-input components.
• Reduced code duplication by ~20% by refactoring AI-generated frontend codebase into modular, reusable components, improving long-term maintainability.
• Accelerated development by integrating AI-assisted coding workflows and Model Context Protocol (MCP) tooling, as well as independently resolved backend issues without dedicated support.
• Technologies used: Svelte (SvelteKit), Tailwind CSS, Supabase, Sanity, GSAP, Chart.js, Vitest.

• Large-scale B2C legal services platform operating across Europe in air passenger rights and in Germany across labor, mobility, and rental law.
• Owned the end-to-end onboarding and lifecycle foundations of a high-traffic customer acquisition funnel across 8 European markets, supporting ~10,000 new users per month and backed by €100k/month in paid acquisition spend.
• Led the architectural migration of the core intake and decision logic from fragmented legacy flows into a scalable workflow engine, increasing reliability, improving operational efficiency, and enabling faster iteration on funnel performance and user experience.
• Partnered closely with engineering, operations, and commercial stakeholders to optimize activation, manage complex edge cases, and ensure the platform could scale sustainably across markets without compromising performance or consistency.
• Introduced foundational product analytics and performance monitoring to increase visibility into activation, drop-offs, and lifecycle behavior, enabling data-driven prioritization and experimentation.