Guille Montanari - CDAO at Cody

Guille Montanari

CDAO at Cody

Argentina, Sonora, Mexico

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Summary

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Senior

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Top School

Guille Montanari is a data and AI leader with 10 years of experience building product-grade analytics and agent-driven solutions across startups and global tech firms. As CDAO at Cody, he designs inference logic, observability and governance so AI agents act transparently and execute reliably against strategic goals, a role informed by prior analytics work at Google and hands-on product and data leadership in fintech and consulting. He pairs academic depth—masters in Data Science and Complex Systems—with practical engineering roots evidenced by C-language numerical computing contributions on GitHub. Known for turning ambiguous business questions into measurable AI solutions, he thrives in multidisciplinary teams and high-stakes environments. An interesting detail: he blends traditional numerical analysis skills with modern AI orchestration, bridging low-level computational rigor and scalable agent architectures.

10 years of coding experience

9 years of employment as a software developer

Programa en Alta Dirección: Chief Technology Officer, Programa en Alta Dirección: Chief Technology Officer at Massachusetts Institute of Technology

Master in Data Science Ciencia de datos, Master in Data Science Ciencia de datos at Instituto Tecnológico Autónomo de México

Maestría Sistemas Complejos, Maestría Sistemas Complejos at Univerdad Autonoma de la Ciudad de México

Spanish, French, English

Github Skills (9)

c1710

numerical-analysis10

c-programming10

c1110

scientific-computing10

mat4

matrix-multiplication4

python4

matrix4

Programming languages (1)

Jupyter Notebook

Github contributions (5)

ITAM-DS/analisis-numerico-computo-cientifico

Jan 2017 - May 2017

Análisis numérico y cómputo científico

Role in this project:

Backend Developer

Contributions:59 commits, 15 PRs, 1 comment in 4 months

Contributions summary:Guille's commits primarily focus on writing and modifying C code, with an emphasis on numerical analysis and scientific computing. They appear to be implementing and testing numerical methods, as demonstrated by the error analysis and calculations in the C code, including the use of `truncf`. The user also developed various programs related to C programming, including a program for counting lines, number of letters, and modifying a program using `getchar`. These contributions are all in line with the repository description.

lapackmpipythontensoraws

gmontanari/analisis-numerico-computo-cientifico

Apr 2017 - May 2017

Contributions:29 pushes in 1 month

numricopythonmachine-learning

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