Design Technologist

Thomas

I spent the first chapter of my career in boardrooms — consulting for the world’s largest banks, insurers, and healthcare systems. Then I left to make art in Portugal for two years. After that, I went where the work mattered most: behavioral health, where I designed systems for people in crisis. Now I build things with AI that most teams haven’t figured out are possible yet.

2013–2019

Consulting

Enterprise design at global scale

I started my career at the intersection of design and strategy — first at Columbia, then through a series of roles that took me from startup pitch decks to McKinsey engagement rooms. Over six years I designed digital products for the world's largest banks, insurers, manufacturers, and healthcare systems. The work was rigorous: mixed-methods research translated into personas, service journeys, and prototypes that had to survive scrutiny from partners and C-suites.

By the time I left as Associate Design Director, I'd learned how to build client-side design capability from scratch — research ops, training programs, playbooks. I'd also learned that the most interesting design problems aren't in boardrooms. They're wherever the systems are most broken and the stakes are highest.

2019–2023

Art + Independence

Making things with my hands in Portugal

After nearly a decade in consulting, I left the US to make art in Porto. I carved wood, shaped metal, designed websites for local businesses, and built 3D-audio experiences with artists like Mary J. Blige and the Prince estate. I worked a hostel front desk to practice Portuguese and stay close to the neighborhood.

This wasn't a sabbatical — it was a deliberate reset. I wanted to understand what I could build when I wasn't constrained by client briefs and sprint cycles. The answer: sculptures, jewelry, digital works, physical exhibitions, and a creative practice that still informs how I approach design problems today.

sunset stream porto
beach sunset porto
storm clouds porto
shattered glass porto
thorns porto
+9 more

2023–2025

Behavioral Health

From the clinical floor to the systems behind it

I came back to the US and went straight to the hardest environment I could find: residential addiction treatment. I started as a Behavioral Health Technician — taking vitals, running groups, doing crisis de-escalation. Within months I was leading the BHT team, then running day-to-day facility operations as Operations Manager.

What I saw from the inside was a system held together with workarounds. EMRs designed for billing, not care. Intake processes that lost patients in the gap between phone call and admission. Staff burning out on paperwork that didn't make anyone healthier. I didn't just observe these problems — I lived them. That's the difference between designing for healthcare and designing from within it.

2025–present

Acceleration

Building what the industry doesn't have yet

Everything converged. The consulting rigor, the creative instinct, the clinical domain knowledge — now I'm building the tools that behavioral health actually needs. Sudsy reimagines the EMR from the patient and clinician experience outward. Melody is a deterministic LLM chatbot that handles healthcare admissions without hallucinating or violating PHI. Paper Cannon is a 14-agent research synthesis pipeline with built-in adversarial quality control.

I'm not waiting for someone to hand me a brief. I'm identifying the gaps myself — because I've worked in the system — and building solutions that most teams haven't figured out are possible yet.

Selected Work

Case Studies

Melody

Deterministic LLM Chatbot for Healthcare Admissions

Context

A behavioral health organization needed a patient-facing chatbot for their admissions website — handling sensitive mental health and addiction inquiries with PHI compliance requirements.

Problem

Most LLM chatbots hallucinate, can't handle PHI safely, and don't know when to escalate to a human. In healthcare admissions, a wrong answer or a privacy violation isn't a bug — it's a liability.

What I Built

A 954-line conversational flow specification with state machine architecture. Deterministic routing with LLM flexibility where appropriate. PHI compliance gaps identified and remediated. Guardrails that actually guard.

Why It Matters

This is what responsible AI deployment looks like in a regulated environment — not "we added ChatGPT to our website" but a system designed to know what it doesn't know.

Melody architecture — deterministic state machine with LLM flexibility layers

Sudsy

Behavioral Health EMR Concept

Context

The behavioral health industry runs on fragmented, outdated EHR/EMR systems that weren't designed for the complexity of addiction treatment and mental health care.

Problem

Patient financial responsibility estimation is broken, verification of benefits is unreliable, and clinical teams are stuck working around systems that don't talk to each other.

What I Built

An end-to-end behavioral health EMR concept — from intake to billing — designed around how these organizations actually operate. Started as a design vision, evolved into working prototypes for VOB accuracy and PFR estimation.

Why It Matters

This isn't a redesign. It's a rethinking of what the system should be when you start from the patient and clinician experience rather than the billing code.

Sudsy Census — real-time patient census with filtering by state, level of care, and group
Sudsy Attendance — virtual IOP attendance tracking with AM/PM group management
Flagship Project

Paper Cannon

Multi-Agent Research Synthesis Pipeline

Context

Research organizations — whether academic, clinical, or product — drown in source material. Studies, interviews, reports, analytics, support tickets. The data exists. The synthesis doesn't.

Problem

When synthesis is manual, it's slow, inconsistent, and vulnerable to cherry-picking. PMs and stakeholders do their own interpretation of research, which means the loudest voice or the most convenient data point wins — not the most rigorous reading.

What I Built

A 14-agent multi-agent pipeline that takes disparate source material and produces editorial-quality synthesized output. The pipeline includes: ingestion agents that handle multiple input formats, analysis agents that extract and cross-reference findings, a synthesis agent that produces coherent narrative, a red-team agent that challenges the output, and a containment agent (Reindeer) that monitors all other agents for drift from their designated roles. The system includes a pixel-art "Newsroom" GUI for monitoring pipeline status.

Why It Matters

This isn't a summarizer. It's a system where the research team maintains editorial authority over what the data says, while AI handles the scale problem. The red-team and containment architecture means the system is designed to catch its own mistakes — the same principles that make LLMs dangerous in uncontrolled environments make them powerful when you build adversarial quality control into the pipeline itself.

The Reindeer Moment

The containment agent (Reindeer) operates in detection-only mode, issuing CLEAR or DRIFT assessments per agent. During testing, Reindeer caught the Red-Team agent drifting during the challenge phase — the system policing itself in real time.

Paper Cannon Newsroom GUI — pixel-art interface showing agents in the Challenge phasePaper Cannon pipeline architecture — 14-agent multi-agent research synthesis system
The Stacks — pre-flight phase extracting thesis, scope, claims, and correction candidates
Chat log distillation — session dynamics, counter-arguments, and trigger candidates

Resume

Just the data.

Work History

Client Services Manager

Recovery Unplugged

Nov 2025Present · Remote

Experience Designer

Recovery Unplugged (Consultant)

May 2025Present · Virtual

Virtual Case Manager

Recovery Unplugged

Oct 2024Nov 2025 · Remote

Operations Manager

Recovery Unplugged

Dec 2023Oct 2024 · Austin, TX

Lead Behavioral Health Technician

Recovery Unplugged

Sep 2023Dec 2023 · Austin, TX

Behavioral Health Technician

Recovery Unplugged

Jul 2023Sep 2023 · Austin, TX

Hostel Receptionist

Casa Bonjardim Guest House Porto

Mar 2022Sep 2022 · Porto, Portugal

Visual Artist + Experience Designer

Self-employed

Mar 2021Mar 2023 · Porto, Portugal

Experience Designer

Soul In The Horn

Apr 2020Jan 2021 · New York, NY (Remote)

Lead Experience Designer

Workforce Logiq (NetApp)

Sep 2019Mar 2020 · Sunnyvale, CA

Design Research Consultant

Greyt Solutions LLC

Aug 2019Oct 2019 · Remote

Associate Design Director

McKinsey & Company

Jul 2018Aug 2019 · San Francisco, CA

Senior Designer

McKinsey & Company

Oct 2016Jul 2018 · San Francisco Bay Area

Designer

McKinsey & Company

Oct 2014Oct 2016 · San Francisco, CA

Design Lead | Product Owner

Tipic i Catala

Jun 2014Sep 2014 · Barcelona, Spain

Design Lead

Scout Ventures

Feb 2014Aug 2014 · New York, NY

Digital Analyst Intern — Experience Design | Product Owner

McKinsey & Company

Jun 2013Oct 2014 · New York, NY

Skills & Tools

Design

User Research · Service Design · Interaction Design · Prototyping · Design Systems · Figma · Adobe Creative Suite

Engineering

TypeScript · React / Next.js · Node.js · Python · D3.js · HTML / CSS · Git · Vercel

AI / ML

LLM Architecture · Prompt Engineering · Multi-Agent Systems · Deterministic AI Pipelines · Claude / OpenAI APIs

Domain

Behavioral Health Operations · EMR / EHR Systems · Healthcare Compliance · Addiction Treatment · Intake & Admissions · VOB / PFR Estimation

Education

Columbia University

B.A. Sustainable Development, Biology concentration · 2014 · New York, NY