Selected work

Twelve years.
Five operating ventures.
One standard.

I split my time between senior operating roles, advisory work with founders and executives, and the ventures I have built through Solution Cabin and its affiliates.

Engagements

Where I have done
the heavy lifting.

2024 — Now

Principal Scientist, Analytics Engineering & Data

Lead architect for analytics across multiple state agencies. Built the source-of-truth data platform, semantic layer, and the programme audit framework that turned a backlog of legacy dashboards into a measurable modernisation roadmap.

State of Connecticut, DAS

2023 — Now

Founder & Principal

Through Solution Cabin I run advisory and build engagements with CIOs, CDOs and founder-CEOs. The throughline is honest economics of AI and analytics, programme design that survives audit, and production work that ships.

Solution Cabin LLC

2022 — 2024

Senior Data Scientist, Specialty Analytics

Designed and licensed DocSensei, the document intelligence platform Alliant now uses on commercial policy work. Built extraction schemas, RAG pipelines, evaluation harnesses and production observability.

Alliant Insurance Services

2020 — 2022

AI Engineer, Clinical & Risk

Predictive models on clinical and claims data. Operationalised risk pipelines that supported care management decisions across millions of members.

UnitedHealth Optum

2019 — 2020

Analytics Lead, Music Insights

Worked on listener understanding and editorial analytics inside the Music team. Built models to support catalogue strategy and artist development workflows.

Spotify

2017 — 2019

Senior Analyst, Operations Research

Forecasting and optimisation work across crew, operations and customer experience. Cleaned data infrastructure that fed daily operating decisions across the network.

United Airlines

2015 — 2017

Data Analyst, Customer Experience

Customer feedback analytics, NPS modelling, and the early programme that taught me how an enterprise data function actually runs at scale.

Cisco Systems

Operating ventures

Five businesses, all live.

Aevora Healthcare

A Georgia home care agency, on its own AI platform

Pre-launch home care agency targeting GAPP Medicaid pediatric nursing and private pay adult care. Co-founded with my wife, a board-certified internist. Operations run on AevoraOS, the HIPAA-compliant agent platform I designed in-house.

Home health Medicaid AevoraOS

Reliant Process Solutions

Process serving, run on an agent stack

Atlanta-based service of process company. Six named agents handle intake, routing, skip trace, quality, communications and billing. Co-founded with a registered process server. Live operations.

Operations Multi-agent Legal services

TechEccentric Consulting

African government and enterprise technology

Government and enterprise technology programmes across Nigeria. Active engagements include ThriveAbia (training ten thousand young Nigerians) and STELUMA, a STEM education transformation initiative training teachers to build interactive learning materials with AI tools.

Government Education Africa

QurateHQ

Mentorship programme for technical talent

A sixteen-week milestone-based programme that converts tech-skilled people into income earners. Aimed at the gap between formal training and the first paid contract.

Mentorship Edtech Africa

Solution Cabin

The holding firm

The consulting and platform engineering practice through which I deliver advisory, build, and license work to enterprise clients. Active since 2015. Sits behind every other engagement on this page.

Advisory Build License

DocSensei

Document intelligence, licensed

The 37,000-line document intelligence platform I built and licensed to a Fortune 1000 insurance broker. Schema extraction, RAG pipelines, evaluation harness, full audit log. The work I point to when somebody asks what production AI looks like.

Document AI Licensed IP Insurance

Capabilities

Stack and discipline.

Modelling

Statistical and ML modelling

Risk and propensity models, time series forecasting, survival analysis, NLP classification, structured prediction, and experimentation. Python first, with R where it earns its place.

scikit-learn XGBoost PyTorch

LLM systems

Applied LLM and agent systems

Production RAG, structured extraction, evaluation harnesses, guardrails, multi-agent orchestration, cost and latency observability. Vendor-agnostic, biased toward what survives.

Anthropic OpenAI Self-hosted

Data platform

Modern data platforms

Ingestion, transformation, semantic layer, governance, and the dashboard surface. Built around dbt, Airflow, Snowflake, BigQuery, Postgres and a clear contract layer between them.

dbt Snowflake Airflow

Engineering

Backend and platform

FastAPI, SQLAlchemy, Celery, Redis, Postgres, Docker. Patterns I have shipped to production at scale, with the operational telemetry that lets a team sleep through the weekend.

FastAPI Docker CI/CD

Healthcare

Clinical and regulated AI

HIPAA controls, BAA scoping, PHI handling, audit logs, and the documentation a compliance officer will actually sign off on. Predictive readmission and care management models.

HIPAA FHIR CMS data

Leadership

Function design and hiring

Hiring rubrics, interview loops, IC ladders, performance frameworks, and the operating cadence that gets a team to predictable shipping inside ninety days.

Hiring Org design Coaching

A working note

I take on a small number of engagements a year. Fit matters more than fee.