CV

Chief Product Officer & Co-Founder, AI/ML

Aurifex Healthcare | Case study | Website | LinkedIn

Healthcare AI platform designed to run inside Epic that predicts discharge dates and post-hospital placement and drafts inpatient rehab (IRF) referrals for case managers to approve, built and evaluated on 25,000 held-out historical admissions.   Own product vision, model and agent design, evaluation, and pricing and go-to-market strategy, building with Claude Code and GitHub pull-request workflows behind automated evaluation gates.

• Built a gradient-boosted discharge-date model accurate within one day for 85%+ of held-out admissions, measured from day 2 of the stay, plus rehab-candidate flags at AUROC 0.91 (88% recall, 80% precision).
• Designed GPT-4o agents that draft cited IRF referrals for a case manager to approve and PM&R consults for the attending to sign: 85% of drafted consults rated acceptable in blinded review, a 1.5% hallucination rate (per drafted statement, not comparable to UW Health's per-draft rate), and referral prep cut from 45 to 10 minutes in workflow testing on simulated cases.
• Took it from concept to a working product in about 6 months behind a 1,200-case evaluation gate (40 of 40 prompt-injection tests passed, ≤3-point accuracy gap across patient groups), at $0.12 in model cost per patient.

Senior Technical Product Manager, AI/ML

UW Health | Case study

Conceived, developed, and launched AI clinician workflow assistants, integrated with Epic, that improved quality of care at Wisconsin's largest health system, lowering costs while also minimizing provider burn-out.   Led a cross-functional team of 30+ and an internal development team of 8+ in an agile format.

• Audited the state of AI across the UW Health system, evaluating 50+ use cases to find the biggest clinician pain points, presented findings to senior leadership and executive stakeholders, and won ownership of UW Health's AI/ML roadmap, spanning GenAI agents, UiPath RPA for billing and Best Buy Health remote patient monitoring.
• Co-led the AI steering committee and created a system-wide AI education program.
• Returned an estimated 42,000+ clinician hours in the first year of a 500-clinician pilot, the capacity of 20+ full-time clinicians, then scaled the use cases organization-wide, with >90% engagement, the highest of any piloted UW Health AI tool.
• Integrated Azure OpenAI GPT-4-based agents with Epic to draft replies to patient messages in the Epic In Basket, nurse shift summaries and routine documentation for clinician sign-off, plus agents predicting length of stay for operations, achieving 93% clinician-judged task success and a 2.5% clinician-reviewed hallucination rate (per reviewed draft) under HIPAA compliance and AI guardrails.
• Defined and shipped, as product owner, a real-time Databricks pipeline for usage telemetry and qualitative feedback, cutting iteration cycles from months to days and serving as the governance layer for the AI steering committee.

Lead Technical Product Manager & Co-Founder of CODAmarket, AI/ML

CODAworx | Case study

Leading platform for commissioning public art.   Recruited into the founding team of CODAmarket, a marketplace built for public-art artists to sell their work directly, and became a co-founder; launched it to CODAworx's network of 17,000+ artists and led a cross-functional team from concept to commercialization, including platform pricing and artist support.

• Created and implemented a hybrid collaborative-filtering and content-based recommender that personalized the artworks and artists each user saw, lifting click-through on recommended artworks by 40% and repeat purchases by 30%.
• Doubled 90-day user retention by designing and shipping self-service onboarding, in-app guidance, and personalized outreach flows via cohort analysis and NPS feedback.
• Established analytics instrumentation, funnel optimization, and a regular experimentation cadence of A/B tests, giving CODAworx a data-driven way to ship and test changes.
• Redesigned core inventory, RFP, and transaction workflows using A/B testing and real-time analytics, improving fulfillment time by 60%, and built creator inventory and pricing tools that halved listing time.

Chief Product Officer & Co-Founder, AI/ML

Gallify | Case study

AI-powered iOS marketplace for digital art, with AR viewing.   Joined early, became CPO and co-founder, and led product, managing a team of 10+.   Designed, built and launched the platform 0 to 1, ahead of schedule; wound down in 2021 as we broadened from digital art to public art, which led to CODAmarket with CODAworx.

• Grew to 7,500+ users (2,500+ artists, 5,000+ buyers), 15% month-over-month, mostly organic, and secured investment from a Midwest venture capital firm.
• Built computer-vision auto-tagging for 2D and AR/VR artwork, cutting listing time by 60% and lifting search conversion by 25%.
• Led the design and launch of a visual-similarity and browsing-behavior recommender and analytics system that increased click-through rate by 30% and boosted average order value by 20%.

Senior Technical Product Manager, AI/ML (Internship)

Workday | Case study

12-month internship on Workday's accessibility AI strategy, for a product with 70M+ end users.

• Used customer and competitive research across 50+ AI vendors to surface 8 partnerships and recommend 3 to roll out first, prioritizing solutions that segmented users, reduced costs, lowered enterprise risk and improved UX; informed the direction of Workday's accessibility AI roadmap.

Veritas | Case study | Website | LinkedIn

AI reading and study app that reads books aloud in the learner's own cloned voice, quizzes each chapter, and schedules spaced review; launching Q1 2027.

• Designed and built the platform solo over 20 months (OCR import, voice cloning, read-along timing, LLM study model on a durable Postgres queue), at under $0.30 in AI cost per book and 45 seconds to chapter-ready audio.
• Built a 2,500+ person waitlist with no paid marketing, plus 3 university study-skills centers signed on as pilot partners.
• Ran a closed beta with 60 students: 85% returned for daily review in week 2, and the cloned voice was rated 4.4/5 for naturalness, close to their own recordings.
• Reached 97% source-grounded answers and 99% answer-key accuracy on an offline eval set of 400+ real chapters across 12 subjects, clearing all launch gates.

Master of Business Administration (MBA)

Carnegie Mellon University (School of Computer Science & Tepper School of Business)

Artificial Intelligence, Technology Strategy & Product Management

Master of Science (MSc)

The University of Texas at Austin

Artificial Intelligence

Bachelor of Science (BSc)

The University of Wisconsin, Madison

Genetics & Genomics

President, AI/ML

AI@CMU

Establishing and scaling a student–alumni organization dedicated to fostering collaboration, education, and awareness around AI/ML research and applications across academia and industry. Highlights Include:

• Founding the organization's core structure, defining its mission, governance, and long-term strategy to connect research groups, alumni leaders, and industry practitioners.
• Organizing and moderating technical workshops, research talks, and panel discussions with leading AI/ML experts, driving interdisciplinary engagement across disciplines.
• Building partnerships with industry sponsors and research labs to support mentorship programs, hackathons, and recruitment pipelines for AI/ML-oriented career paths.
• Expanding membership and event participation through outreach and educational initiatives, positioning AI@CMU as a central hub for applied AI/ML learning at Carnegie Mellon University.

Member

Mensa International

Eagle Scout

National Eagle Scout Association

Volunteer

Community volunteering

UW Health, NAMI, Madison Area Technical College, SSM Health, Boy Scouts of America, Ronald McDonald House Charities.