Nina Lopatina
Staff Developer Advocate
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolNina Lopatina is a Lead Developer Advocate at Contextual AI with eight years of experience bridging data science, machine learning research, and developer relations. She has moved from hands-on research—earning a PhD in Neuroscience and publishing work during postdoctoral stints—to leadership roles driving model iteration and data quality at Spectrum Labs and product-focused AI teams at Nurdle and In-Q-Tel. Nina combines technical depth in adversarial ML and generative AI with a talent for mentoring and developer enablement, having advised and mentored across Insight and SharpestMinds. Based in Palo Alto, she thrives at the intersection of research and developer experience, turning complex model and data problems into usable tools and clear developer workflows. An uncommon strength is her background in behavioral biology and neuroscience, which informs a human-centered approach to AI safety and data quality.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at University of Maryland BaltimoreJohns Hopkins University
Russian, French
Github Skills (51)
preprocessing10
ocr10
pdf-to-text10
donut10
pdf10
benchmarking10
docx10
partitioning10
information-retrieval10
training-data10
ai-chat10
mlmodel10
langchain9
chatgpt9
nextjs9
Programming languages (5)
Github contributions (5)
ninalopatina/Rocket_RL
Jun 2018 - Jul 2018
Reinforcement learning agent that runs fluid dynamics simulations for rocket engines
Contributions:35 commits, 6 PRs, 30 pushes in 1 month
fluid-dynamicsreinforcement-learning
Lab41/cyphercat
Oct 2018 - Jan 2019
Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
Contributions:112 commits, 13 PRs, 12 pushes in 3 months
benchmarkinginferencemlmodeltraining-data
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