Over Manuel
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Engels
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Nederlands
Beperkte professionele capaciteit
Werkervaring
- Boundless DigitalAI LeadPERS & MEDIAapril 2025 - april 2026 (1 jaar)Amsterdam, Nederland- Led the end-to-end conception, prototyping, and client deployment of Cabyn.ai, an AI-native SEO analysis and content creation system for a digital marketing agency's client base.- Diagnosed the core pain point: traditional SEO workflows consumed 15–30 hours per project in manual research, with clients spending €2,000–€5,000/month on fragmented tooling. Cabyn replaced this with automated, multi-lingual output in minutes.- Delivered the platform to enterprise retail clients, enabling scalable 24/7 SEO intelligence without agency dependency.- Operated across product, engineering, and client-facing functions with no dedicated PM layer —independently bridging business requirements, technical scoping, and stakeholder communication.
- FreelancingAI & Product ConsultantHIGHTECHoktober 2023 - Vandaag (2 jaren en 8 maanden)Amsterdam, NH, Netherlands- Identified a client operational bottleneck consuming 16+ hours/week in manual work scheduling across multiple locations and contract types; designed and built "Barbara", an AI-powered planning system (Neo4j + GPT-4o) that automated the full scheduling workflow end to end.- Created Spiintel, a Graph-AI context infrastructure platform (Neo4j + Anthropic/OpenAI) built to close the technology gap between large enterprises and SMEs, enabling smaller businesses to access enterprise-grade AI at operational scale.- Advised clients on AI implementation strategy, graph data modeling, and RAG pipeline architecture; delivered context graph frameworks that transformed unstructured business data into structured, queryable knowledge assets.- Authored practitioner-level thought leadership (Medium, Substack) on GraphRAG, hybrid retrieval design, and AI-driven operations — building credibility and inbound visibility in the AI consulting space.
- KlarnaAI & Product ConsultantHIGHTECHjuni 2023 - april 2024 (10 maanden)Amsterdam, Nederland- Contributed to the design and development of Klarna's Knowledge Management System — addressing the challenge of institutional knowledge fragmentation across large-scale distributed fintech operations.- Built a Graph-AI pipeline that transformed unstructured Slack communications into a structured Neo4j knowledge graph, enabling teams to retrieve historical decisions, topic ownership, and discussion threads through natural language.- Implemented a hybrid RAG retrieval architecture combining Neo4j full-text indexing (Apache Lucene) with Cohere's reranker, improving retrieval precision and consistency over vector-only approaches.- Managed stakeholders, translating complex AI system design into business-level roadmaps and phased implementation plans.
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Opleidingen
- Bachelor DegreeUniversidad Católica de Valencia2024Bachelor Degree
- (ES)2014(ES)
Diploma's
- Graph Data Modeling FundamentalsNeo4j2024