Zachary Caceres

Founder at StoresData

Denver, Colorado, United States
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Summary

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Rockstar
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Top School
Zachary Caceres is a founder and engineer with 11 years of experience building product-led startups and AI-first engineering solutions from Denver. He blends hands-on TypeScript front-end work—demonstrated by contributions to the fastai course video browser—with strategic product and technical leadership across companies like Clarity, Curology, Clay, and his consultancy Automation.co. Zachary specializes in rapid zero-to-one builds, rescuing or scaling platform projects, and designing LLM-powered tooling that automates messy operational problems (e.g., normalizing 130k addresses and transcript-based feedback capture). At StoresData he’s applied that product rigor to curate deep Shopify datasets for targeted lead generation, bootstrapped from consulting roots. Known for practical processes and shipping internal AI workflows, he pairs startup grit and user-focused product discipline with a taste for entrepreneurial side projects in hardware and community ventures.
code11 years of coding experience
job10 years of employment as a software developer
bookGallatin School of Individualized Study Politics Philosophy and Economics, Gallatin School of Individualized Study Politics Philosophy and Economics at New York University
bookUnschooled
languagesEnglish, Spanish
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Stackoverflow

Stats
83reputation
74kreached
4answers
1question
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Github Skills (14)

videojs10
javascript10
front-end-development10
video-player10
react10
ui-design9
css8
html8
responsive-design6
twitter-bootstrap6
unity-game-engine6
github-pages6
multiplayer6
networking6

Programming languages (9)

TypeScriptMDXCSSCoffeeScriptRustJavaScriptPHPJupyter Notebook

Github contributions (5)

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fastai/course-v3

Oct 2018 - Jan 2019

The 3rd edition of course.fast.ai
Role in this project:
userFront-end Developer
Contributions:23 commits, 1 PR, 13 pushes in 2 months
Contributions summary:Zachary primarily worked on the front-end of a video browser application. Their commits focused on implementing and refining UI components, including lessons, togglers, and a notes panel. They also integrated a transcript browser with search functionality, enhancing the user's ability to navigate video content. The user also implemented and refined the video player using YouTube embeds and added search to transcript browser.
pytorchpythondata-sciencedeep-learningmachine-learning
zcaceres/snoop

Oct 2019 - Jan 2023

Like grep or ack... for the DOM
Contributions:11 commits, 11 PRs, 23 pushes in 3 years 3 months
ackdomgrepgrep-like
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