Ezequiel Donovan

AI Staff Engineer at Pixalate

Los Angeles, California, United States
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Summary

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Senior
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Top School
Ezequiel Donovan is an AI Staff Engineer in Los Angeles with eight years of experience building production-grade machine learning and data-driven systems. Grounded in a physics background, he excels at translating complex research into scalable engineering—designing crawling pipelines, custom NER/BERT models, MinHash similarity systems, and distributed RL frameworks. At Pixalate he co-led the AI Lab to deliver a real-time multi-agent assistant, end-to-end RAG and MCP integrations, and the Privacy0 engine that evaluates privacy practices across millions of apps monthly. He routinely owns full lifecycles from architecture to deployment using Python, SQL, GCP/AWS services, and practical LLM evaluation techniques like LLM-as-a-judge. Known for automating high-impact internal workflows (research reporting, applicant screening), he combines deep modeling skills with pragmatic automation to accelerate business outcomes.
code8 years of coding experience
job5 years of employment as a software developer
bookBS, Computer Science, BS, Computer Science at California State University, Northridge
bookComputer Science, Computer Science at Santa Monica College
languagesSpanish, English
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Github Skills (75)

nim-language10
delay10
unity3d9
channel9
xposed9
deep-reinforcement-learning8
reinforcement-learning8
machine-learning7
ml-agents6
deep-learning6
containerization6
selenium-grid6
selenium6
ai5
scrapy5

Programming languages (8)

C#TypeScriptC++VueGoPHPJupyter NotebookPython

Github contributions (5)

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ezedonovan/pixalate-open-mcp

Aug 2025 - Apr 2026

Contributions:3 releases, 3 pushes, 4 tags in 7 months
cabesd/MATH341

Oct 2018 - Dec 2018

Contributions:3 pushes, 3 branches in 2 months
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