I help organizations turn promising technology into adopted workflows.
At McKinsey, I led executive-facing implementations across 5 countries, contributing to $20M+ in EBITDA gains and enabling 200+ engineers at enterprise scale.
Most recently, as founder and COO of a healthcare AI company, I built products, spoke with 250+ health leaders, advanced pilots with 8 major US health systems, and signed and launched a pilot with an 18-clinic network. I also write about responsible AI.
A selection of the transformations most relevant to AI deployment—work where success depended on workflow design, enablement and sustained adoption, not only the technology.
Directed 5 engineers building a Python pricing algorithm across 100K+ SKUs. When the commercial team did not adopt it, I redesigned the workflow around how sellers actually made decisions and piloted it across 45+ stores—raising adoption 20% and delivering $7M+ EBITDA within 2 months.
Led McKinsey and client teams in a transformation involving 200+ IT professionals. Designed the change approach, coordinated external training providers, rebuilt recruiting and performance-management processes, and tracked adoption across organizational levels.
Developed negotiation playbooks for one of LatAm's largest bottlers, personally retrained client sales teams on the new commercial model, and measured uptake against pipeline outcomes so the change persisted beyond the engagement.
Turned the methods from a Digital Transformation engagement into a reusable practice document that became a widely referenced firm-wide resource—scaling one team's approach into a system other teams could run.
Products, tools and prototypes I built myself. Some well before LLMs.
The screening navigation agent placing real outbound calls: identifies the patient, explains why they're being contacted, handles the shared decision-making conversation, and books follow-up.
Maps who bills for what across US healthcare. Built because pipeline research kept dying in spreadsheets; it became the intelligence layer for the commercial motion.
Every accredited screening program in the country, mapped against program size and referral geography.
A self-serve pre-sales walkthrough so health system stakeholders could explore the product before scheduling anything.
A retrieval-grounded assistant answering patient questions against PubMed rather than the open web.
The prototype we put in front of primary care physicians during discovery. Cheaper to build the thing than describe it.
The company site plus standalone sites built to test adjacent positioning before committing engineering.
Stage-shift and cost-avoidance modeling for multi-cancer early detection, grounded in CPT/HCPCS coding and CMS coverage.
Patient-facing triage and the company's 1st shipped product.
At Verkada: account allocation across the global sales org, plus an LLM matcher that collapsed messy survey responses into clean entities.
Pricing, negotiation, headcount forecasting and route automation tools—built so the recommendations remained usable after the team left.
Interactive dashboards showing what consumers were saying, stitched together from NodeXL, Excel and Sprinklr. Engagement increased 36%.
Co-founded. Built the Moodle platform and modular curriculum. Tripled enrollment, cut dropout 30%, and helped 50+ adults return to school.
Published thinking on responsible AI, healthcare and the gap between what technology can do and what organizations actually adopt.
Co-authored with Stanford faculty on how the misuse surface expands faster than the institutions built to catch it.
NewsletterThinking out loud about healthcare, AI and real-world adoption.
Stanford OTLCommercialization fellow moving university research toward the clinic.
HIT portfolioThe Stanford-developed diagnostic I worked on commercializing.
Now. Founder and COO of a healthcare AI company. I owned everything outside engineering—go-to-market, finance, product and operations—built our 1st product and commercial intelligence platform, spoke with 250+ health leaders, advanced pilots with 8 major US health systems, and signed and launched a pilot with an 18-clinic network.
Before. Nearly 4 years at McKinsey across 9 engagements in 5 countries, contributing directly to $20M+ in EBITDA gains and leading enterprise enablement for 200+ engineers. Highest performance rating in every cycle.
Training. Stanford GSB, MBA 2026. Industrial and mechatronics engineering at PUCP in Lima, ranked 1st of 694, plus a diploma in anthropology.
Also. Cancer survivor, which is how I got into early detection. I play about 15 instruments—and I play them quite well.