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.





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.
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.


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.



Resume
Just the data.
Work History
| Dates | Role | Company |
|---|---|---|
| Nov 2025 – Present | Client Services Manager | Recovery Unplugged |
| May 2025 – Present | Experience Designer | Recovery Unplugged (Consultant) |
| Oct 2024 – Nov 2025 | Virtual Case Manager | Recovery Unplugged |
| Dec 2023 – Oct 2024 | Operations Manager | Recovery Unplugged |
| Sep 2023 – Dec 2023 | Lead Behavioral Health Technician | Recovery Unplugged |
| Jul 2023 – Sep 2023 | Behavioral Health Technician | Recovery Unplugged |
| Mar 2022 – Sep 2022 | Hostel Receptionist | Casa Bonjardim Guest House Porto |
| Mar 2021 – Mar 2023 | Visual Artist + Experience Designer | Self-employed |
| Apr 2020 – Jan 2021 | Experience Designer | Soul In The Horn |
| Sep 2019 – Mar 2020 | Lead Experience Designer | Workforce Logiq (NetApp) |
| Aug 2019 – Oct 2019 | Design Research Consultant | Greyt Solutions LLC |
| Jul 2018 – Aug 2019 | Associate Design Director | McKinsey & Company |
| Oct 2016 – Jul 2018 | Senior Designer | McKinsey & Company |
| Oct 2014 – Oct 2016 | Designer | McKinsey & Company |
| Jun 2014 – Sep 2014 | Design Lead | Product Owner | Tipic i Catala |
| Feb 2014 – Aug 2014 | Design Lead | Scout Ventures |
| Jun 2013 – Oct 2014 | Digital Analyst Intern — Experience Design | Product Owner | McKinsey & Company |
Client Services Manager
Recovery Unplugged
Nov 2025 – Present · Remote
Experience Designer
Recovery Unplugged (Consultant)
May 2025 – Present · Virtual
Virtual Case Manager
Recovery Unplugged
Oct 2024 – Nov 2025 · Remote
Operations Manager
Recovery Unplugged
Dec 2023 – Oct 2024 · Austin, TX
Lead Behavioral Health Technician
Recovery Unplugged
Sep 2023 – Dec 2023 · Austin, TX
Behavioral Health Technician
Recovery Unplugged
Jul 2023 – Sep 2023 · Austin, TX
Hostel Receptionist
Casa Bonjardim Guest House Porto
Mar 2022 – Sep 2022 · Porto, Portugal
Visual Artist + Experience Designer
Self-employed
Mar 2021 – Mar 2023 · Porto, Portugal
Experience Designer
Soul In The Horn
Apr 2020 – Jan 2021 · New York, NY (Remote)
Lead Experience Designer
Workforce Logiq (NetApp)
Sep 2019 – Mar 2020 · Sunnyvale, CA
Design Research Consultant
Greyt Solutions LLC
Aug 2019 – Oct 2019 · Remote
Associate Design Director
McKinsey & Company
Jul 2018 – Aug 2019 · San Francisco, CA
Senior Designer
McKinsey & Company
Oct 2016 – Jul 2018 · San Francisco Bay Area
Designer
McKinsey & Company
Oct 2014 – Oct 2016 · San Francisco, CA
Design Lead | Product Owner
Tipic i Catala
Jun 2014 – Sep 2014 · Barcelona, Spain
Design Lead
Scout Ventures
Feb 2014 – Aug 2014 · New York, NY
Digital Analyst Intern — Experience Design | Product Owner
McKinsey & Company
Jun 2013 – Oct 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