WhatsApp Experts in Germany

Re-engaged to own two product streams end to end, from concept and UX design through to AI-assisted implementation.

• Redesigned the offer and follow-up journey across 38 insurance plans, 16 providers, and four age segments, spanning web, WhatsApp, email, and SMS.
• Launched the rebuilt conversion flow in a live A/B test against the legacy version - evaluation still in progress.

Development and further development of an internal platform for managing and providing technical resources, virtual machines, and infrastructure services. The platform supports self-service processes and covers functions that are conceptually comparable to cloud management solutions like Azure or AWS.

• Responsible involvement in the design, development, and implementation of new backend and frontend features
• Hands-on development with Java, Spring Boot, Python, and Angular
• Implementation of REST interfaces, business logic, validations, and integrations into existing system landscapes
• Further development of modern web interfaces with Angular, including connection to backend services
• Participation in architecture and design decisions within the team, especially with regard to scalability, maintainability, and clean interfaces
• Containerization and deployment of applications with Docker, Kubernetes, and Helm
• Support with CI/CD processes and deployment to Kubernetes-based environments
• Work in the environment of vSphere, Broadcom, GitLab CI/CD, ArgoCD, Maven, npm, and NuGet
• Close collaboration with developers, business teams, DevOps, and other technical stakeholders
• Analysis of technical requirements, deriving suitable solutions, and independent implementation in an agile team
• Use of GitHub Copilot to support code generation, refactoring, test case creation, and technical documentation

Methods/ tools/ technologies: Languages & frameworks: Java (21), Spring Boot (4.x), Python, Angular, Robot Framework, Kubernetes, Helm Persistence: PostgreSQL, MongoDB, Hibernate, Liquibase Architecture & communication: REST, gRPC, GraphQL, Apache Kafka, OpenAPI, Microservices, Event Driven, Domain Driven Design Cloud & infrastructure: Terraform, Docker, Rancher, Helm, Ansible Security: OAuth2, MS (Entra ID), web security, Keycloak (extensions for detailed group rights) DevOps: GitLab CI/CD, Ansible, Maven, Gradle, Grafana, Prometheus, Git, GitHub Copilot Testing & QM: JUnit, Robot Framework, automated component and integration tests, E2E tests with Playwright, Testcontainers, EasyMock Methodology & approach: Kanban, JIRA, Confluence, Clean Code

• Design, setup and operation of AI phone assistants (voicebots) as a managed service
• Requirements analysis and process mapping: reasons for calling, recurring requests, escalation and emergency rules
• Conversation design & prompt engineering: dialogue management, tone of voice, conversation logic, fallbacks and handovers
• Building and maintaining structured knowledge bases for recurring customer inquiries
• Integration into existing processes, including request recording, appointment coordination, SMS confirmations and call forwarding
• Testing, customer acceptance, ongoing optimization, and seasonal and content-related adjustments
• Evaluation of voice AI and conversational AI platforms based on functionality, data protection, hosting and data processing
• Design and implementation of website chatbots and WhatsApp Business solutions
• Taking data protection and compliance requirements into account when using AI systems

AI Agent SaaS

Founded and built an AI agent SaaS for automated customer support and lead qualification, including implementation with pilot customers.

• Service → product transformation: productization from the agency into an independent AI agent SaaS. The starting point was a specific customer problem; the product was developed together with the customer.
• Developed and launched AI agents for website inbound, lead qualification, and customer service, reaching €8K MRR.
• Structured and led a remote team across engineering, LLM ops, and customer enablement.
• Case PTC Auto (e-commerce on Shopify): connected an AI support agent to the store, automated product data & support workflows, reducing workload by ~10–15 hours per week per support employee.
• Set up GDPR-compliant data processing for the AI agents: data processing agreements, deletion policies, and customer data storage locations.
• Assessed agents against the EU AI Act (risk class, transparency requirements) and built them accordingly.
• Addressed customers’ compliance and security requirements (questionnaires, evidence, contracts) to make sales possible in the first place.
• Built technical safeguards into the product to prevent agent misbehavior: hallucinations, escalation to humans, and logging.

• 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.

Outcome: Implementation of an APS solution (Eyelit) across multiple international production sites, including definition of target planning processes, integration architecture (SAP – APS via middleware), and alignment of complex manufacturing requirements (e.g. autoclave planning, alternative routings). Establishment of governance structures, steering formats and decision frameworks to manage scope, cost and timeline across multiple stakeholders. Successful handover of project leadership to internal successor, ensuring continuity and sustained project delivery.

Role in Project: Project Lead / Program Manager

Main Tasks in Project:

• Led APS implementation across multiple plants (Germany, Canada, France, US) with focus on end-to-end planning & scheduling processes and system integration
• Acted as central interface between business stakeholders (plants, operations), IT (SAP/middleware) and vendor (Eyelit)
• Drove requirements engineering, including consolidation of plant-specific requirements and steering of sign-off process
• Managed vendor (Eyelit) performance, including scope clarification, effort discussions and commercial alignment
• Identified and challenged gaps between standard APS functionality and complex manufacturing requirements (e.g. autoclave planning, batch optimization, alternative routings)
• Defined and implemented project governance structures, including Steering Committees, risk reporting and decision frameworks
• Led escalation management on cost overruns, scope deviations and delivery transparency
• Coordinated integration strategy (decision for custom middleware vs. standard connector) and alignment with SAP landscape
• Improved project transparency and way of working, including definition of reporting structures, tracking logic and communication cadence
• Facilitated alignment between global and local stakeholders to ensure feasible timelines, resource planning and plant readiness
• Prepared and delivered SteerCo updates and executive decision documents
• Managed structured project handover to internal project lead, including knowledge transfer, documentation alignment and stakeholder transition.

Scope: Embedded as FP&A Data & AI Architect within the Finance function of a major European refrigeration manufacturer, leading the transformation of manual, fragmented financial reporting into an automated, governance-driven intelligence platform. Driving the shift from Excel-based controlling to structured data architecture, Power BI analytics, and AI-assisted financial operations.

Financial Data Integrity & ERP Governance

• Initiated and led GL vs. subledger reconciliation investigations, identifying and resolving structural mismatches between General Ledger and subledger data that had gone undetected prior to engagement
• Conducted asset analysis to identify items missing from General Ledger postings, surfacing gaps in fixed asset tracking and period-end completeness
• Validated SAP reports, establishing baseline data quality standards for Finance team consumption
• Established systematic SAP data validation framework ensuring ongoing integrity between ERP postings and downstream reporting outputs

Finance Reporting Transformation

• Designed and implemented a structured Transformation Project approach for converting manual Finance reports into fully automated processes
• Created and owns the Data Reporting Audit Log; a centralized tracking system capturing report owners, stakeholders, data sources, manual effort estimates, and automation opportunity scores across the Finance function
• Mapped the full reporting landscape identifying quick-win automation targets and strategic Power BI migration candidates
• Actively reducing manual Excel and PowerPoint dependency across FP&A workflows; replacing point-in-time snapshots with live, governed data models

Power BI & Analytics Enablement

• Introduced and presented Power BI as the strategic reporting platform to Finance leadership, building internal buy-in for the BI transformation roadmap
• Designed initial Power BI architecture aligned with SAP, Salesforce and Oracle data structures and FP&A reporting requirements
• Established report ownership, governance documentation, and data lineage standards enabling sustainable self-service analytics across the Finance team

Transformation Infrastructure & Collaboration

• Configured and deployed Jira as the transformation project management hub, establishing structured sprint workflows, backlog management, and progress visibility for Finance IT initiatives
• Proposed and initiated a dedicated FP&A Communication & Transformation Hub, a structured cross-functional forum aligning Finance, IT, and business stakeholders around the reporting transformation roadmap
• Positioned the Finance function as an active driver of data governance and digital transformation within the broader organization

Outcomes

• GL/subledger reconciliation gaps identified and investigation framework established within first two weeks of engagement
• Data Reporting Audit Log deployed; first structured inventory of Finance reporting landscape in company history
• Power BI transformation roadmap presented and approved by Finance leadership
• Jira-based project governance live; Finance transformation now tracked with full sprint visibility

Technologies: SAP FI/CO · Power BI · DAX · SQL · Excel (advanced) · Power Query (M) · Power Automate · VBA · Jira · Microsoft 365 · SharePoint · Salesforce (Sales Data) · Oracle HCM · Python

• TrendReel, production LLM agent and RAG system (Python, LangChain, OpenAI, Groq/Llama 3, Claude, FastAPI, Kubernetes, PostgreSQL).
• Designed and built a production multi-step LLM agent system: a script generation agent with a per-platform psychology database, 7 viral narrative frameworks, and structured quality scoring, switching between Claude and Groq backends in real time based on output metrics.
• Implemented multi-provider LLM routing (Claude primary, Groq/Llama 3 fallback) with priority-chain failover and quality-based provider switching, achieving 95% inference cost reduction while holding measurable quality thresholds.
• Built an advanced RAG-style retrieval pipeline with per-platform knowledge bases, semantic content matching, and structured output evaluation across 7 decision frameworks, directly analogous to multi-tenant context-based reasoning for enterprise document workflows.
• BrainyAI, adaptive AI learning platform (Python, LangChain, Groq Llama 3.3-70B, OpenAI, Next.js, Supabase, Redis).
• Integrated Groq Llama 3.3-70B with education-level-aware prompting, dynamically adjusting vocabulary depth, citation complexity, and reasoning style across four student proficiency tiers.
• Nexus Prime, multi-tenant SaaS platform for marketing and growth automation (25 modules, 99 backend routers, 153 frontend files).
• Built a 25-module, 99-router multi-tenant SaaS platform covering ad remix, affiliates, WhatsApp inbox, email, and cart recovery, serving four subscription tiers from $199 to $1,999 per month with integrated Stripe, Paystack, and Flutterwave billing.
• AI Video Surveillance Platform, multi-tenant edge and cloud computer vision system currently in active client pitch.
• Designed a multi-tenant AI video surveillance platform combining edge YOLO26 inference on NVIDIA Jetson Orin NX boxes with a central GKE cloud layer (Postgres, Pub/Sub, ClickHouse, R2, Keycloak) for event storage, dashboards, alerting, and multi-tenancy.

• Worked on an FTTx/telecommunications project within the project environment
• Supported operational project coordination and task follow-up
• Used Jira to create, process and track tasks and tickets
• Structured and maintained project-related information and work statuses
• Coordinated open points and ongoing tasks within the project team
• Supported the coordination of work packages and their processing status
• Followed up on tasks, feedback and open topics
• Worked at the interface between operational implementation and project organization
• Applied digital project management tools in the ongoing FTTx project
• Provided hands-on support with organizational and operational project tasks

• Designed and implemented automated end-to-end tests using Cypress for multiple insurance web applications and mobile app, improving regression coverage by ~70% and reducing manual testing effort.
• Automated critical user journeys and API validations, ensuring stable releases across frequent deployments.
• Integrated automated tests into GitLab CI/CD pipelines, enabling early feedback and faster release cycles.
• Continuously improved existing test suites by refactoring flaky tests and applying best practices, increasing test reliability and execution stability.
• Created and maintained test cases, test data, and test reports, improving transparency and traceability for stakeholders.
• Collaborated closely with developers, product owners, and QA colleagues from planning to release, identifying issues early and preventing production defects.

• Created marketing content including videos, graphics for marketing and sales activities
• Developed content strategies using Adobe Creative Cloud tools for course promotion
• Additionally worked on content as director, producer and script writer
• Set up KPIs for online marketing, then analyzed analytics and engagement

• Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
• Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
• Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
• Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
• Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.

Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker

This is what LocalConnect offers you

• Guaranteed 30+ new guests in just 30 days
• Specifically designed for restaurants, hotels, cafés & bars in the DACH region
• More full tables without discounts
• More regular guests who keep coming back
• More positive Google reviews
• More revenue and profit per guest
• Higher occupancy – even on slow days
• Faster recruitment of qualified staff
• Building your own guest database for follow-up offers
• Fully automated WhatsApp marketing system
• Meta ads for predictable guest acquisition
• WhatsApp newsletter for long-term guest retention
• Recruiting campaigns for new staff
• GDPR-compliant implementation
• Turnkey system – we handle the entire setup
• No tech stress and no extra work
• Measurable results through live tracking
• More predictability, security, and sustainable growth
• You focus on your guests – we'll take care of the rest

• Project management, PMO, digital strategy, go-to-market strategy, growth strategy, marketing management, communication concepts
• Implementation of digital marketing activities
• Online sales, campaign management, performance marketing
• Conversion rate optimization, CRM, customer retention