Greg Schwartz
AI engineer
Ship the eval, then the feature.
Twenty one years of software, the last four shipping production AI. Trained in human computer interaction at Stanford, so the systems get adopted, not just demoed.
Doctors’ reports
6x
faster, from a three step prompt chain
Triage accuracy
57→96%
Podcast downloads
0
19 episodes, 155 countries
Patients per clinician
0x
Patent
Passive food tracking via wearable sensors
US10049598B1
Education
Stanford Engineering
Master’s degree, Human Computer Interaction
Work
result · models · tools · process
Evals36k tickets
57% → 96%
Support triage, brought back from dead
The old classifier was a coin flip, so three full time staff plus department heads read every ticket. Golden sets of 50 and 200 human labeled tickets, 15 categories, prompt and few shot iteration scored in Langfuse, then image categorization for scales and prescriptions.
Chatbot and RAG
6xpatients1.9xteam
Member messaging assistant
HIPAA compliant, on GPT-4.1, GPT-5 mini and GPT-5.4 with Postgres RAG over 100+ clinical protocols. Resolves two thirds of messages through an 8x volume increase. Mandate was 2x to 4x.
Now playing
The Prompt Engineering Podcast
Host and producer since 2023. Teaching prompt engineering to engineers and laypeople.
0downloads
0downloads an episode, about
0episodes
0countries
43% United States
31% Europe
26% other
“The most incredible prompt I’ve ever seen, having spent a ton of time myself researching it and not finding any examples anywhere. He will continue to be our go to prompt engineer.”
Alycia Leno · Marketing Director · GoDaddy
“Huge asset to the team. Appreciated his ability to tackle and present his work from the perspective of user needs and real use cases.”
Genevieve Wang · Product Head · Zipongo
30:33Giving Good Presentations: stop putting paragraphs on your slidesWatch
7:56Quantified Dating: data analysis of online dating messages, photos, and profilesWatch
5:07Burning BodyMedia: physical activity and calorie expenditure at Burning ManWatch
5:20Are You What You Eat, or What You Buy? The talk that became the patentWatch
Resume
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