Vasily Konovalov is an NLP research engineer with 11 years of experience blending academic rigor and practical engineering to build real-world conversational AI. Based in Moscow, he has worked in leading research environments (Bar-Ilan University) and contributes to prominent open-source projects like DeepPavlov, where he implemented and refined an e-commerce bot skill—including dataset readers, preprocessing, Spacy integration, and custom BLEU metrics. His background spans semantic inference, textual entailment, and syntactic parsing, and he’s pursuing a PhD in computer science from MIPT while holding an MS from Bar-Ilan. Known for bridging research and production, he focuses on robust infrastructure and evaluation pipelines that make NLP models more reliable and usable.
11 years of coding experience
3 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Bar-Ilan University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
An open source library for deep learning end-to-end dialog systems and chatbots.
Role in this project:
ML Engineer
Contributions:77 reviews, 342 commits, 35 PRs in 4 years 4 months
Contributions summary:Vasily contributed significantly to the development of an e-commerce bot skill within the DeepPavlov framework. Their work encompassed implementing dataset readers, configuring the bot, and integrating Spacy for text analysis. The user also refactored code, added preprocessing steps, and implemented custom BLEU metrics for evaluation, demonstrating a strong focus on building and refining the conversational AI capabilities of the bot. Key contributions included dataset format changes, model format adjustments, and integrating various components to enhance bot functionalities.
Contributions:62 commits, 50 pushes, 1 branch in 4 years 6 months
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