Available for select engagements

Enterprise data architecture meets modern AI.

Twenty years designing data systems for organizations that can't afford downtime. Four years building production AI applications. I bridge the gap between enterprise reliability and startup velocity.

Eduardo Caceres — Available for select engagements
Years in data architecture
20+
Former technology leadership
CTO
Full-stack + AI development
4 yrs
Production systems shipped
50+

Remote · info@datahubstudio.io

About

I've spent two careers preparing for this one.

I started in data architecture two decades ago — designing warehouses, building pipelines, and eventually leading technology as CTO. I learned what enterprises actually need: systems that don't break at 3am, decisions backed by clean data, and architecture that scales past the demo.

Four years ago I pivoted into full-stack and AI development, capped by an intensive 16-week immersion in modern AI engineering. Now I build the kind of AI products that ship to production — not just notebooks that look good in a deck.

The combination is rare. Most AI developers haven't operated at enterprise scale. Most senior architects haven't shipped a transformer to production. I do both.

Data & Architecture

  • Data warehousing
  • ETL / ELT pipelines
  • Snowflake / BigQuery
  • PostgreSQL
  • dbt
  • System design

AI & ML

  • LLM application design
  • RAG pipelines
  • Agent frameworks
  • Prompt engineering
  • Embeddings & vector DBs
  • Evaluation harnesses

Full-stack

  • TypeScript
  • React / Next.js
  • Python / FastAPI
  • Node.js
  • Tailwind
  • Docker / CI

Cloud & Ops

  • AWS
  • GCP
  • Vercel / Cloudflare
  • Terraform
  • Observability
  • Cost optimization

Services

Productized engagements with clear scope.

Fixed fees. Defined deliverables. No discovery-call labyrinth.

Data architecture audit & roadmap

from $6,500·2 weeks

A senior look at your data stack: warehouse, pipelines, governance, cost. You get a written assessment, a prioritized roadmap, and a decision-ready summary for leadership.

  • Current-state architecture diagram
  • Prioritized gap list with effort estimates
  • 12-month roadmap with cost projections
  • Executive presentation
Start this engagement →

AI integration for existing systems

from $12,000·4-6 weeks

I add production AI capabilities to systems you already run — RAG over your docs, agents that move data, LLM-powered workflows. Built to enterprise standards, not demo standards.

  • Production-deployed AI feature
  • Evaluation harness for ongoing quality
  • Cost & latency monitoring
  • Handoff documentation
Start this engagement →

Full-stack AI MVP

from $18,000·6-8 weeks

Zero to production for AI-native products. Next.js front-end, FastAPI / Node back-end, the right model for the job, deployed and monitored. Built by one senior person, not a junior team.

  • Deployed, monitored product
  • Source code + architecture docs
  • Two weeks of post-launch support
  • Path-to-scale recommendations
Start this engagement →

Selected work

Case studies, not screenshots.

Real problems, real numbers. Client names withheld where required by agreement.

View all →

How I work

Four phases. No surprises.

  1. 01

    Listen

    We start with a working session — your problem, your constraints, your team. I ask harder questions than most consultants do, because guessing wrong is expensive.

  2. 02

    Diagnose

    I produce a written assessment: what's working, what isn't, and what the tradeoffs look like. You see my reasoning, not just my conclusion.

  3. 03

    Build

    I build in short, visible increments. You see progress every week, not just at the end. Scope changes are negotiated openly, not absorbed silently.

  4. 04

    Hand off

    Real documentation. A walkthrough with your team. A list of what I'd do next if it were mine. I want your team to own this after I leave.

Trusted across industries

"He saw three architectural problems we hadn't named yet. By the end of the engagement we'd shipped fixes for all of them."
VP of Engineering
Series B SaaS
"The rare consultant who can sit with a CTO in the morning and pair-program with a junior dev in the afternoon. Both walked away smarter."
Head of Data
Healthcare analytics
"Most AI consultants give you a demo. He gave us a system that's still running, still being used, and still saving the team hours every week."
Director of Operations
Consulting firm

FAQ

Honest answers to the usual questions.

Do you take on full-time roles?+
I'm focused on project engagements and fractional CTO work right now. Happy to discuss exceptional opportunities.
Will you work with my existing team?+
Yes — most of my engagements involve pairing with internal engineers. Knowledge transfer is part of the deliverable, not an afterthought.
What if my problem isn't on your services list?+
Reach out. The list above is what I productize because it's repeatable. Bespoke work is welcome if it's the right fit.
How do you price?+
Fixed-fee for productized services. Time-and-materials or retainer for open-ended advisory. I share a written proposal before any contract.

Contact

Let's talk about your problem.

The fastest way to know if I can help is a 30-minute call. No deck, no pitch — I'll ask about your situation and tell you honestly whether I'm the right fit.

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