Ilan Cohen

12+ years in corporate and private banking (HSBC, Barclays) before transitioning to data and AI systems. I understand how businesses operate, not just how databases work. I build data foundations and AI systems that serve the business logic - not the other way around.

Data architectures that make AI actually useful. Ingestion from any source (PDFs, legacy systems, scraped data, vendor exports, APIs), structured around the specific business question, then AI on top - chat interfaces grounded in your data, autonomous agents, automated workflows. I currently run production agents 24/7 across multiple databases, curating and cleaning data continuously. Shipped systems include Lamap, LBI, Camelote, and several SaaS replacements - all data + AI products live in production.

Fast scoping. Clear communication. Working systems delivered in 4 to 8 weeks. No endless discovery, no over-engineering. You get clean architecture, documented schemas, full ownership of the code, and something your team can maintain after I leave. When clients want the system kept alive long-term, I operate it on retainer.

Supabase, PostgreSQL, Edge Functions, Claude and OpenAI APIs for AI orchestration, Lovable for rapid product delivery (top 1% user globally), custom pipelines for automation. I don't write Python or heavy backend services - I design data systems and ship AI-native products with modern tooling.