For data teams and PE-backed companies

Senior AI/ML and Databricks delivery.

Team-scale output from one operator with heavy AI leverage. I take stalled AI initiatives from pilot to production, fast.

Book a 30-minute scoping call

Three ways to start

Fixed scope, fixed price, fixed timeline. Each begins with a free 30-minute technical scoping call.

AI/Data Readiness Assessment

Before you commit a quarter to AI, an independent senior read on whether your data, platform, and team can carry it, and where the gaps are.

1 to 2 weeks
$10,000 fixed
  • Scored readiness report across platform, governance, and ML maturity
  • Prioritized 90-day roadmap
  • Readout with your team

AI/Data Tech Due Diligence

For PE: is the target's AI real, scalable, and defensible, or a liability? An independent technical read on your deal clock.

1 to 2 weeks
From $12,000 (Express) | $20,000 full
  • Diligence memo and risk scorecard
  • Validation of the AI claims in the CIM
  • Value-creation thesis with effort and cost

Databricks GenAI Pilot-to-Production

Your pilot works but is stuck in a notebook. In three weeks it is in governed, monitored production.

2 to 3 weeks
$25,000 fixed
  • Deployed system: pipelines, RAG and agentic patterns
  • MLOps, evaluation, monitoring, Unity Catalog governance
  • Runbook and handoff so your team owns it

A decade of production ML, shipped solo

Five-person scope, one operatorA real-time computer-vision product-availability system for a major multi-site retail operator, scoped for a team of five and delivered solo on Databricks.
What no team could do by handA production clinical-note extraction system for a top-tier pharma, turning thousands of unstructured histories into structured data, human-in-the-loop with active learning.
An unsearchable corpus, queryableA production RAG and structured-extraction app over a national vehicle-fleet company's legal library on a Databricks lakehouse.

Author, Docker for Data Science and Pro Agentic AI (Apress). Instructor, Caltech CTME. MS Computer Science, Georgia Tech. A decade of production ML across regulated and high-stakes data, primarily on Databricks.

Have a stalled AI initiative?

Thirty minutes, a clear read, and a fixed first step.

Book a scoping call