Di Lucaro
[ 01 / Work ]

Case studies

We work across two practices — production AI engineering, and the brand, visibility, and web work around it. Pick the side relevant to you, or read both.

[ Applied AI engineering ]

Production AI systems

RAG, agents, and AI platforms built for regulated industries and on-premises deployment — the systems that have to keep working after the demo.

01

Enterprise RAG, on-prem

Vermiculus Financial Technology
2025 — 2026

Built an enterprise RAG system from scratch, unifying knowledge across Confluence, Jira, and GitHub. Deployed fully offline on-premises for a regulated finance environment.

  • Hybrid retrieval (BM25 + pgvector) with reciprocal rank fusion
  • Cross-encoder reranking for precision
  • Instructor-XL embeddings and Qwen 32B running locally on NVIDIA GPU
  • REST API, web UI, and Microsoft Teams integration
  • −67% time-to-information across previously siloed sources
RAGOn-prem
Python · pgvector · Qwen 32B · Instructor-XL
02

AI platform engineering

Walma AI
2026

Engineering on Walma's distributed AI platform — a multi-tenant enterprise system that lets organizations chat against internal knowledge bases and run AI-powered document pipelines. Contributed across four interconnected codebases: Noda (Nuxt chat UI + RAG search and tool execution), Noda Workers (Azure Functions for ingestion and scheduling), Ocle (visual no-code pipeline builder), and Ocle Workers (19-worker serverless processing engine).

  • Invoice Reviewer (Fakturagranskare) — rebuilt a municipal contract auditing workflow from 1 correct / 7 warnings / 3 inconclusive to 11/11 reliable outputs, via a decision-tree prompt with self-check stage, a deterministic extraction pass (temperature 0, fixed seed), retry logic, tool-call caps, and post-processing rules
  • Platform architecture — established and applied the Ocle / Noda separation (stateless reusable document processing vs. customer-specific data, config, and scheduling), connected through a result/handler contract
  • RAG ingestion pipeline — full path from Ocle Workers document parsing → webhook events → embedding generation and Azure AI Search indexing → hybrid search at chat time. Embedding migration from ada-002 to text-embedding-3-small and parent-child chunking for an RCO dataset
  • Infrastructure consolidation — migrated Ocle Workers onto Noda's shared Azure AI Foundry hub, removing per-environment hub provisioning
  • Tenant outcomes include a security-sector knowledge base (−65% support lookup time) and an invoice auditing workflow (−92% manual oversight)
AI platformMulti-tenant
TypeScript · Nuxt 3 · Azure Functions · Azure AI Search · Azure OpenAI · Supabase
[ Brand, visibility & web ]

AI visibility, content & commerce

Retrieval-aware content, GEO strategy, analytics, and the web work that makes the rest of it visible — where the audience meets the product.

01

Content strategy & thought leadership

Walma AI
2026

Built Walma's content presence from the ground up — thought leadership library, LinkedIn strategy, and an analytics-led repositioning. Fully organic, no paid promotion.

  • 29 articles for walma.ai on EU data sovereignty, RAG architecture, shadow AI, the EU AI Act, and production enterprise AI
  • LinkedIn strategy across 14 topic areas in 3 clusters (technical substance · buyer reality · how the team builds), with voice guide, cadence, and a credibility-based measurement framework
  • Diagnosed low organic reach from team analytics and reverse-engineered two viral posts (36K and 124K impressions) into a repeatable structural pattern
  • Over 46 days: +5,766% impressions · +140% page views · +109% unique visitors · +1,050% new followers · search appearances from ~39/week to 800–1,000/week
  • Outperformed a comparable competitor (379 followers) who posted zero times in the same period
ContentStrategy
Content systems · LinkedIn analytics · GEO
02

Founder advisory · AI visibility & analytics

Independent client
2025 — 2026

LLM visibility strategy and analytics dashboards for a founder-led company. Designed how the brand surfaces inside AI answers and built the dashboards to measure it.

  • Retrieval-aware content architecture and on-page structure
  • Internal dashboards integrating GA, GSC, and Bing Webmaster Tools
  • Measurement framework for AI-driven traffic and brand mentions
GEOStrategy
Next.js · Wagtail · Grafana · Analytics APIs
03

Direct-to-consumer storefront

Stockholm independent brand
2025

End-to-end direct-to-consumer storefront for an independent Stockholm retailer — brand expression, product catalog, and integration with the operational side of the business.

  • Custom storefront design with clear product narrative
  • Catalog and inventory wired to day-to-day operations
  • Analytics and conversion instrumentation from day one
CommerceWeb
Next.js · Commerce platform · Analytics