AI & GenAI.

LLM agents for data onboarding, checked by evaluation frameworks (golden sets, trajectory, prompt injection, drift), while production stays deterministic and auditable.

Three areas, one question: can we trust this data enough to decide?

Projects

Production work on this topic.

  1. P—03

    Active

    Featured

    Contract-Driven Data Platform with GenAI-Assisted Onboarding

    New data sources join through validated YAML contracts; LLM agents work at design time only, so production runs stay deterministic.

    • Data contracts
    • GenAI
    • LLM evaluation data
    • AI-ready data
    • Data governance
    • Data pipelines

    Role

    Architecture and hands-on development · Data Solution Architect

  2. P—04

    Completed

    Fashion Retail Competitive Intelligence & GenAI Trend Platform

    Competitor price, stock and colour data for 20+ brands in ~95 markets, normalized with LLMs: pricing and assortment decisions from 1 week to 1 day.

    • GenAI
    • AI-ready data
    • Decision support
    • Data platform
    • Cloud

    Role

    Design and build · Data Solution Architect

Architecture katas

Design studies, not delivered systems. Their figures are design assumptions.

  1. Featured

    Governed GenAI Data Agents with LLM Evaluation

    Three enterprise agents limited to certified metrics, contracted data and permitted documents, with traced answers and gated releases.

    • LangGraph
    • LiteLLM
    • vLLM
    • OpenMetadata
    • Open Policy Agent
    • PostgreSQL

    Sector

    Enterprise analytics and AI governance

  2. Claims Intake with Document Intelligence

    Self-hosted models recommend, rules and adjusters decide, eight GPUs sit behind a queue, every decision is auditable for seven years.

    • Apache Camel
    • Apache Kafka
    • PaddleOCR
    • vLLM
    • Flowable
    • Drools

    Sector

    Insurance

All katas

Working on something like this?