About
Founder of Deep Loom. I build AI systems that drive real business results — not demos, not prototypes. Production-ready AI that generates revenue, automates operations, and scales.

My path into AI engineering started in the field, not in a boardroom. During a thesis internship at one of the Netherlands' top Magento agencies, I built an AI-powered recommendation system that the agency recognized as production-ready. That wasn't a “good student project” — it became the technical foundation of a commercial startup.
That early validation launched Deep Loom in 2023. What started as a boutique AI consultancy has since shipped 15+ production AI systems — spanning growth automation, recommendation engines, SEO pipelines, and voice AI — for clients ranging from Finnish startups to UN-affiliated organizations.
The work that gets me up in the morning is the hard stuff: designing AI infrastructure from zero, making real-time systems perform at scale, and translating technical capability into measurable business impact.
“Daniel helped us build a vector-search algorithm for Solvearn.net using Python, and it was excellent quality. He delivered fast results so we could launch our most important product update on time. I recommend Daniel for all AI-related work — he's the guy who delivers fast results with top quality.”
— Solvearn.net
Ventures
2023 – Present
Founder
AI engineering consultancy. I build custom AI systems for founders and enterprises — recommendation engines, voice AI, autonomous SEO pipelines, and growth automation. Every project is production-ready and designed to drive measurable outcomes.
MEXC Exchange · ManpowerGroup · SilentHands · UN CTBTO · Solvearn.net · BigBridge.nl
2025 – Present
Founding AI Engineer
AI-powered career platform. Architected the multi-dimensional vector search engine and built the first revenue feature — an agentic AI landing page generation pipeline. Scaled to 100K+ users and €600K valuation in under 6 months.
Helsinki, Finland (Remote)
2024 – 2025
AI & ML Specialist
Invited as founding technical team member at this €500K seed-stage e-commerce SaaS. Led development of the ML-powered recommendation and search system — K-Means clustering, collaborative filtering, and NLP content filtering — achieving 96% recall and 74% NDCG.
Nijmegen, Netherlands
Community & Background
Amsterdam · July 2024 – May 2025
Co-hosted monthly events bringing together 100+ AI entrepreneurs and professionals. Facilitated sessions with CEOs from Featherless AI, Netlify, and LangChain.
Netherlands
BSc Computing Science — Data Science & AI Specialization. Certifications in Deep Learning, NLP with Python, React/Next.js, and Rust.
Stack & Outside Work