Ezequiel Donovan
Software Engineer, AI Lab at Pixalate
Los Angeles, California, United States
Summary
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Top SchoolEzequiel 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.
7 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science Machine Learning, Master's degree Computer Science Machine Learning at Georgia Institute of TechnologyBS Computer Science, BS Computer Science at California State University, NorthridgeComputer Science, Computer Science at Santa Monica College
Spanish, English
Github Skills (89)
delay10
unity3d9
serve9
channel9
xposed9
deep-reinforcement-learning8
intelligent8
selenium-grid8
deep-learning7
simulations7
containerization7
nim-language7
docker7
selenium7
machine-learning7
Programming languages (8)
Github contributions (5)
cabesd/MATH341
Oct 2018 - Dec 2018
Contributions:3 pushes, 3 branches in 2 months
csun-data-science-bootcamp-19/Team1
Jun 2019 - Jun 2019
Contributions:12 pushes, 1 branch in 1 day
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