Anastassia Kornilova
Washington, District of Columbia, United States
Summary
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Rockstar🎓
Top SchoolAnastassia Kornilova is the Director of Machine Learning Engineering and a founding engineer at Trustible AI, bringing 11 years of experience building large ML systems with a specialty in Legal NLP and Responsible AI governance. She blends research and product instincts to help organizations prepare for emerging AI regulations by turning compliance and risk insights into auditable, production-ready ML workflows. Previously she led applied NLP and knowledge-graph projects at FiscalNote and enabled data-centric ML adoption and custom solutions at Snorkel AI, including winning six-figure university engagements and designing reproducible demo assets. Based in Washington, DC, she mentors engineers and advises startups on model evaluation, reflecting a pragmatic focus on operationalizing trustworthy AI beyond prototypes. A CMU computer science alum, she describes her work succinctly as "teaching machines to think," signaling a long-running commitment to explainable, usable ML.
11 years of coding experience
7 years of employment as a software developer
High School, High School at Thomas Jefferson High School for Science and TechnologyBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Carnegie Mellon University
Github Skills (67)
python10
arabic-nlp10
entity-linking10
deep-learning10
fairness-ml10
cython10
industrial10
data-preprocessing10
neural10
ai10
corenlp10
nlp10
nlp-machine-learning10
artificial-intelligence10
data-science10
Programming languages (7)
Github contributions (5)
akornilo/akornilo.github.io
Aug 2015 - Jun 2021
Contributions:148 pushes in 5 years 10 months
jekyll-blogjekylljekyll-thememinutes
FiscalNote/BillSum
Dec 2018 - Feb 2020
US Bill Summarization Corpus
Contributions:58 commits, 3 PRs, 30 pushes in 1 year 2 months
nlpsentencelawcorpusdataset
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