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DATA→INTELLIGENCE

We architect
data systems
that think.

Data engineering, analytics and AI agents—
designed as one intelligent ecosystem.

Explore our work →Talk about your project ◌
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MANY YEARS

Experience across banking
and the oil industry.

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END-TO-END

From data foundations
to intelligent outcomes.

✦

AI-NATIVE

Modern stack. LLMs.
Agents. Real impact.

01 / EXPERTISE ECOSYSTEM

One system.
Four disciplines.

The strongest AI begins long before the model. I connect robust data foundations to architecture, insight and intelligent action.

01⌁

DATA ENGINEERING

Clean data in. Reliable pipelines. Trusted output.

  • Ingestion & transformation
  • Batch & streaming
  • Quality & observability
02◇

DATA ARCHITECTURE

Structured, governed and scalable by design.

  • Lakehouse & warehouse
  • Models & governance
  • Security & scale
03◒

ANALYTICS

Turning data into clear decisions.

  • BI & semantic models
  • KPIs & reconciliation
  • Decision support
04✦

AI · AGENTS · LLMs

Intelligent systems that act and adapt.

  • RAG & tool use
  • Agentic workflows
  • Evaluation & guardrails

02 / SELECTED WORK

Complex systems,
made clear.

Representative solution patterns. Privacy-safe case studies will be added as content is approved.

01
✦

Intelligent Data Platform

A governed foundation connecting ingestion, transformation, analytics and AI-ready access.

LAKEHOUSE · GOVERNANCE · ANALYTICSDiscuss a similar challenge ↗
02
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AI Knowledge Agent

A retrieval-powered assistant connecting enterprise knowledge with verifiable, context-aware answers.

LLM · RAG · EVALUATIONDiscuss a similar challenge ↗
03
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Automated Analytics Operations

An intelligent monitoring and reconciliation workflow designed to detect anomalies and accelerate decisions.

AUTOMATION · QUALITY · OBSERVABILITYDiscuss a similar challenge ↗

03 / HOW I WORK

From ambiguity
to operation.

A practical path from complex requirements to reliable, intelligent systems.

  1. 01

    Discover

    Find the real problem.

  2. 02

    Architect

    Design the right system.

  3. 03

    Build

    Create with discipline.

  4. 04

    Validate

    Prove quality and trust.

  5. 05

    Operationalize

    Make it reliable at scale.

  6. 06

    Evolve

    Improve with evidence.

DATA✦INTELLIGENCE

04 / ABOUT

Engineering discipline.
Product thinking.

The AI Data Center team works across the complete data-to-intelligence lifecycle. Our focus is not simply moving data or adding AI to an existing system. We design reliable foundations, understandable architecture, useful analytics and intelligent applications that work together.

Complex systems should become easier to trust, operate and evolve.

CALGARY, CANADADATA + AIOPEN TO CONVERSATIONS

HAVE A DATA OR AI CHALLENGE?

Let’s turn complexity
into intelligent action.

Tell me what you’re building, fixing or reimagining.

Start a conversation ↗