Kirill Nikolaev is a Senior AI Implementation Engineer based in São Paulo with 8 years of experience translating research-grade ML into reliable production systems. He has led high-impact projects across insurance, education, and defense clients—turning technical skepticism into a $1M commitment at Flint by diagnosing a complex integration bug and designing pragmatic experimental frameworks under legal constraints. His work spans NLP, stylometry, fraud detection, and scalable Python/ORM upgrades that improved prediction throughput and enabled multi-tenancy for enterprise sales. Trained in data science with a background in linguistics, he leverages linguistic insight to build interpretable models that keep false positive rates below 1% while boosting recall and detection rates. Kirill is comfortable communicating to both engineers and non-technical leadership, having produced executive-friendly reports that accelerated product decisions. He combines research presentation experience with hands-on deployment and mentoring, making him strong at moving ML proofs-of-concept into production.
8 years of coding experience
6 years of employment as a software developer
Germanic Languages Literatures and Linguistics, Germanic Languages Literatures and Linguistics at Friedrich Schiller University Jena
Master of Science - MS Data Science, Master of Science - MS Data Science at Higher School of Economics
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