ChatGPT Experts in Berlin

• PROBLEM: GTM effort is guesswork across fragmented identities and channels, with no closed feedback loop.
• BUILT: Cost-pyramid engine (L0–L3): identity resolution across ~25k entities, explainable intent scoring, and a closed decision loop (propose → execute → evaluate → learn) with calibration.
• IMPACT: Shipped v1.3.1 with a live demo; 99% of operations resolve at the free L0 tier (CI-enforced); $0 to run without any API key.

• Leading UX for a Property Management System, an all-in-one solution for vacation rental agencies and tourism regions, covering marketing and rental of holiday apartments and houses
• UX audits, conception, and implementation of UX strategy with a focus on regulatory, security, and user-centered requirements
• Advising C-level stakeholders on UX strategy and design best practices
• Planning and conducting research with agencies and property owners
• Design system strategy and definition of UX architecture

Driving AI model quality at scale — evaluating prompt-response accuracy, flagging edge cases, and maintaining SLA-compliant workflows across distributed global teams.

• Analyse AI prompts and side-by-side model outputs to assess response quality, factual accuracy, relevance, consistency, and compliance with project evaluation guidelines.
• Perform fact-checking, data validation, troubleshooting, issue identification, and edge-case review to improve quality standards across AI training support workflows.
• Use Google Sheets, Google Docs, and browser-based tools to document findings, maintain evaluation logs, track issue patterns, and support workflow optimisation in a remote environment.
• Create clear written justifications, review summaries, and KPI-oriented reporting focused on accuracy, turnaround time, documentation completeness, defect identification rate, and SLA adherence.

• Concept and implementation of data-heavy platforms for enterprise customers
• Design of complex AI-based interactions (chatbots, voice control, semantic search)
• Stakeholder management with more than 10 participants in cross-functional teams
• User research: interviews, usability tests, value validation
• Definition of quality metrics and execution of value analyses

Tools & methods: Figma, Adobe XD, Miro, Chat GPT, Claude | Scrum, Kanban, SAFe, Lean UX

Selected clients: VW Group, Volkswagen, BMW, Cariad, ABUS, Gieseke & Devrient, Hamburg Senate Chancellery, German Red Cross, Deutsche Bahn, Immoscout24, Relynk

• Operative end-to-end recruiting in a mid-sized company environment. Main focus on filling IT positions specializing in Data Integration (Junior – Team Lead).
• Stakeholder management, active sourcing.
• Ensuring an optimal candidate experience, conducting interviews.
• Key hires: Team Lead Data Integration, Backend Engineer.
• Tools: LinkedIn Recruiter, Personio, Slack

AI • Enterprise SaaS • Product Strategy • Product Discovery

Led product design for enterprise SaaS, AI-powered and customer-facing products.

• Defined product strategy from discovery to delivery
• Designed complex workflows, design systems and scalable UX
• Led UX research, product discovery and stakeholder workshops

• Teaching knowledge about modern technologies
• Interactive teaching using tools such as miro

• Supported orderbird in setting up and driving an internal advanced analytics project for the internal customer dashboard
• Structured the internal dashboard project for later development

• Codebase Evaluation & Problem Design: Designed and stress-tested complex software engineering problems against large open-source Python codebases (including pandas), requiring deep context acquisition and architectural understanding to produce well-scoped, realistic problem statements aligned to strict correctness guidelines.
• Agent Failure Analysis: Assessed LLM coding agent solutions for correctness and completeness, identifying meaningful failures across edge case handling, dtype behaviour, and multi-column NaN propagation logic; documented findings with precision for downstream evaluation use.
• Programmatic Test Suite Development: Authored comprehensive pytest suites to programmatically verify agent-generated solutions against defined requirements, with deliberate coverage of boundary conditions and failure modes not caught by naive implementations.
• Containerised Environment Engineering: Built and debugged Docker environments for reproducible agent execution, including git-based repository provisioning, dependency pinning with npm ci, and multi-stage Dockerfile authoring across Linux-based containers.

• Introduction to AI and Automation
• The Automation Project
• Make.com Foundations
• Automation Basics: Data Management
• Document Workflows, Troubleshoot, and Automate Reports
• Digression: Data as the Foundation of AI Systems
• Implementing AI Solutions in Practice
• Digression: Large Language Models (LLMs)

• Analysis of complex business processes and end-to-end user journeys in digital product and platform environments
• Gathering, structuring, and prioritizing business and technical requirements (Functional / Non-Functional Requirements)
• Translating business goals into actionable requirements, user stories, and acceptance criteria
• Conducting stakeholder interviews, workshops, and reviews with business teams, IT, UX, and management
• Creating and maintaining requirement artifacts (BRD, FRD, user stories, process models, decision papers)
• Ensuring consistency between business needs, technical implementation, and product vision
• Close collaboration with development teams to clarify business questions during implementation
• Support with impact analyses (A/B tests), change requests, and scope management
• Quality assurance of implemented requirements including acceptance criteria and business testing
• Advising on the further development of product strategy and roadmap structure
• Prioritizing backlog items based on business value
• Defining and sharpening product goals, KPIs, MVP definition, and other success metrics
• Evaluating new features, tools, and initiatives from a user and business perspective
• Facilitating decision-making between business, product, and technology
• Supporting go-to-market considerations and product positioning
• Sparring partner for product and stakeholder decisions at management level
• Dashboard creation, data modeling, BI report administration, and data analysis in Power BI

• Act as a senior People & Transformation advisor to startups and mid-sized companies, leading restructuring, HR operating model redesign, and digital HR initiatives end-to-end.
• Drive HRIS/ATS selection and implementation (incl. Personio, Greenhouse, etc.), process design, stakeholder alignment, and internal communication to ensure adoption and measurable operational impact.
• Advise executives on workforce planning, labour law considerations, organisational structure, and decision-making mechanisms during change and growth phases.
• Build pragmatic recruiting strategies for critical roles (incl. AI/Tech), improving sourcing approach, funnel quality, and hiring velocity.
• Selected projects:
• Marley Spoon SE: Supported a major restructuring process, advising on labor law and workforce planning.
• Promedio GmbH/Osteopro: HR digitalisation, HRIS implementation, and launch of a modern corporate website (cross-functional transformation).
• Journee GmbH: Advised on tech recruiting and talent strategy for senior AI profiles.
• PTW Europa GmbH: First HRIS implementation, process design, and internal comms.
• Focus areas: HR Strategy, Digital HR Transformation, HRIS/ATS implementation, Change Management, Restructuring, Recruiting, and Future Skills (AI in HR).

• Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
• Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.

• Building a cross-functional product team to develop a super app
• Advising and mentoring to support the team and provide input (technical & soft skills)