Lovable Experts in Berlin

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

• Developed websites, CRMs, and micro-SaaS using Lovable, Claude Code/ VS Studio (Vercel, Next.js, React, Supabase)
• Developed an analytics service to unlock automation gains

At BITGRIP (an IT Consultancy in Berlin, holacratically organized), I hold a broad people role encompassing learning, technology, data, and recruiting. As Learning & Development Expert, I design development pathways, career models, and compensation frameworks, conduct development and salary reviews, and establish a learning culture that connects individual growth with corporate strategy. As People Tech Strategist, I drive the digital transformation of the HR function, identify relevant technologies, and implement GDPR-compliant HR systems including AI integration. As People Data Analyst, I collect and interpret people data, develop metrics and visualisations, and derive strategic recommendations to improve employee satisfaction and retention. As Talent Sourcer, I own the end-to-end recruiting process — from active candidate outreach and job advertising through selection interviews to managing the talent pool and external recruitment partners. I also serve as Circle Ambassador for the People Circle. Across all these roles, I form the central people function shaping the strategic and operational foundation for a future-oriented, human-centred organisation at BITGRIP.

Alongside my self-employment, I work in this part-time permanent position three days a week (Tue - Fri).

• 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

• 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)

• Designed AI-powered workflows that transform complex tasks into intuitive, scalable solutions
• Combined UX strategy, technical implementation, and systems thinking to simplify processes and empower users
• Conducted user research and usability testing to develop a practical, accessible AI guide for family caregivers
• Performed data and competitive analysis to inform content and feature development
• Created wireframes, mockups, interactive prototypes, MVP, design systems, and styleguides
• Executed UX and accessibility audits to reduce manual effort and streamline processes
• Scaled content production across multiple formats through UX writing and automation
• Managed projects and design operations, mentoring team members
• Technologies and methods: ChatGPT, Claude, OpenAI API, Make, n8n, ElevenLabs, HeyGen, TTS, HITL design, prompt engineering, Figma, Flutterflow, Miro, Notion, design thinking, workflow mapping, business process mapping

• Executing the roadmap for LMS/LXP platform with 550+ enterprise clients and 4+ million users
• Led the 0-to-1 development of a conversational AI role-play product with the AI team
• Led GTM for the AI Roleplay, creating a new ARR stream, acquiring 15+ enterprise customers in Q1
• Led the development & GTM of a conversational AI Mentor product
• Serving on the strategic leadership team, contributing to long-term product and business strategy

• Led a full platform redesign, including UX/UI, architecture, and content systems, consolidating a previously fragmented system where users were redirected across multiple sites into a single cohesive platform.
• Improved user engagement and content access efficiency, achieving 90%+ positive feedback in usability testing and increasing accessibility compliance from ~50–60% to ~85% (WCAG).
• Delivered MVP and incremental feature releases, reducing time-to-value by ~25%.
• Centralized content through a unified CMS, reducing manual updates by ~40%, saving ~80 hours/month for editorial teams.
• Conducted user research, usability testing, and analytics review to validate redesign improvements, driving early feature adoption among test users (~15–20%).
• Established Agile/Scrum workflows, enabling predictable sprint planning and improved cross-functional delivery, setting a baseline for future velocity.

• Leading the product lifecycle for sovereign AI platform and operating system teams for enterprise & government clients and internal stakeholders (infra, solution delivery, support, revenue)
• Built and scaled the platform from a 200-user beta to a full rollout of 70K+ members at the Bundesagentur für Arbeit (BA), secured with ISO 42001 and EU AI Act compliance
• Architected the shift to a multi-tenant shared inference, increasing GPU cluster utilization from 20% to 85% and reducing infrastructure cost-to-serve by 40% for SaaS clients
• Shipped model quantization, allowing clients to run advanced LLMs on legacy hardware (A100s GPUs) instead of the H100s, saving upwards of 70% cost per enquiry
• Abstracted complex Helm configurations into a dynamic model manager, reducing the time to install or swap models by ~80%
• Killed an expensive move to build own dashboard service, pivoting to an API-first data strategy that clients can consume directly and saving €100Ks in opex and capex
• Built a safety-first agent marketplace and control plane lighthouse project for a Tier-1 bank, allowing internal teams to deploy autonomous agents within strict regulatory guardrails

• Owned product delivery for document automation and workflow platform used across multiple legal jurisdictions
• Led integration across 6+ systems using API-based data exchange and structured data mapping
• Partnered with engineering on data models, document generation workflows, and system orchestration
• Evaluated LLM-assisted document automation opportunities to reduce manual drafting
• Built functional prototypes to validate workflow and product concepts
• ~2x increase in case processing throughput
• Enabled multi-state rollout of platform capabilities
• Reduced manual document generation and operational bottlenecks by 80%

• B2B Platform & Team Building: building a digital platform and an international remote development team
• KPI System & Digitalization Impact: introducing data-driven metrics and responsible for automated real-time reporting
• Product & Process Workshops: enabling portfolio companies in digital product development and performance reporting

• Building an AI-powered (LLM-based) application to take the chaos out of job hunting using GenAI tools like Lovable & Gemini
• Currently in alpha with a set of 10 users to capture user feedback for early iteration on the features, UX and LLM prompts

• Defined the headless Checkout product strategy (APIs, contracts, extensibility) and roadmap; partnered with Engineering/SecOps to refactor and harden the platform for externalization.
• Aligned MDs/C-level on a multi-quarter roadmap, business cases, and success metrics (conversion, time-to-launch for partners, incident rate, SLA adherence).
• Chaired cross-functional planning (multiple PMs and squads); ran RICE prioritization and capacity planning for the unit; sequenced dependencies across Frontend, Payments, Platform, and Security.
• Rolled out a multi-tenant OIDC Identity Provider (SSO, RBAC, tenant isolation, data reuse) and integrated it with Checkout and partner apps; reduced login friction and support escalations.
• Established a governed Rules Engine (eligibility, promotions, shipping and payment rules, compliance guards) with versioning, safe rollouts, and clear ownership across teams.