Tom Piaggio

Chief Technology Officer at Autonoma

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Tom Piaggio is a pragmatic technology leader and CTO with a decade of experience building high-impact AI and ML systems, currently leading Autonoma to deliver practical bug-hunting agents. An ex-Google Senior AI Engineer, he has operated on high-stakes projects for major customers like Reddit, Cisco, and MercadoLibre, combining research-grade ML with production-grade reliability. He previously served as CTO at Metro Smart Cities, where his end-to-end ownership—from bare-metal DMZs to model development—helped win public tenders and attract national attention. Tom founded one of Argentina’s early university AI labs and has taught machine learning to business leaders, reflecting his ability to translate complex AI into practical outcomes. Based in San Francisco with roots in Buenos Aires, he blends startup grit, enterprise experience, and a founder’s eye for product-market fit.
code10 years of coding experience
job7 years of employment as a software developer
bookIngenieria Informatica, Ingenieria Informatica at Universidad Austral
bookPolsky Transform Accelerator, Polsky Transform Accelerator, Polsky Transform Accelerator, Polsky Transform Accelerator at University of Chicago
bookAdvanced General English (CAE), English Language and Literature, General, Advanced General English (CAE), English Language and Literature, General at Charles Sturt University
languagesEnglish, Spanish, French
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Stackoverflow

Stats
659reputation
30kreached
14answers
28questions
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Github Skills (110)

python10
pydantic10
chatgpt10
generative-ai10
ai10
gemini10
typescript10
langchain10
open-source10
llm10
openai10
anthropic10
micronaut9
redis-client9
snap9

Programming languages (12)

TypeScriptMDXJavaC++ANTLRScalaJavaScriptGo

Github contributions (5)

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tomaspiaggio/truco

Aug 2017 - Jun 2024

Truco Argentino
Contributions:47 PRs, 8 pushes, 41 branches in 6 years 11 months
tomaspiaggio/langchain

Apr 2023 - Sep 2023

⚡ Building applications with LLMs through composability ⚡
Contributions:40 pushes in 5 months
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