Mario Czacki

Principal Research Scientist at Kuona

New York, New York, United States
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Summary

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Rockstar
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Top School
Mario Czacki is a Lead AI Architect and Product Manager with nine years of experience building foundation models, multi-agent systems, and the production infrastructure that turns research into deployed products. He combines a double degree in Computer Engineering and Data Science from UNAM with an MS in Data Science from NYU (Fulbright Scholar) and a track record of shipping compact, structure-first models that outperform larger scale baselines. At Kuona he scaled demand forecasting across 500+ servers and architected an agent platform from scratch, now leading teams building an energy-based foundation model for market panel data and a multi-agent analytical platform used by global retailers and manufacturers. He won first place in Yann LeCun’s Deep Learning course competition by using physics-informed, ~20K-parameter models to beat ~3M-parameter ViTs, underscoring his thesis that inductive biases often trump scale. Mario emphasizes determinism, auditability, and formal planning in agent design and publishes his thinking and experiments at mgczacki.github.io.
code10 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at New York University
bookUniversidad Nacional Autónoma de México (UNAM)
bookHigh School Diploma, High School Diploma at Modern American School
languagesEnglish, Spanish
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Github Skills (27)

lidar9
operating-system8
hardware8
agentic7
multi-agent7
large-language-models6
monitoring6
evaluation6
llama-index5
analytics5
observability5
openai4
open-source4
llm4
prompt-engineering4

Programming languages (3)

TypeScriptElixirPython

Github contributions (5)

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Mgczacki/Mgczacki.github.io

Feb 2021 - Feb 2026

Contributions:13 pushes, 1 branch in 5 years
ValdrST/proyecto_BD_2019_2

May 2019 - Jun 2019

Contributions:28 commits, 27 pushes in 12 days
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