Lena Bayeva

Lena Bayeva has a diverse range of work experience in the fields of natural language processing (NLP) and artificial intelligence (AI).

From 2017 onwards, Lena worked at Aigent as an NLP Research Engineer and AI Features Team Lead. In this role, they developed real-time ASR, NLP, and NLU models to handle voice and text conversational data. Lena oversaw and developed solutions for all stages of AI features, including data analysis, model training, evaluation, and deployment in production. Some of the projects they worked on included end-to-end and Kaldi based ASR solutions, emotion recognition, ad-hoc information retrieval, keyword and entity extraction, document and intent classification, and others.

In 2016, Lena co-founded Project-SIM and served as the CTO. The details of their role are not provided.

Before that, from 2015 to 2016, Lena worked as a Freelance Developer.

From 2011 to 2015, Lena worked at Textkernel as an NLP Research Engineer. Lena was responsible for building and evaluating multi-lingual information extraction models used in products like CV and Vacancy Parsing Solutions and Match. Lena worked on various projects, including document summarization, document classification, keyword mining, rendering PDF documents with column layouts, learning word embeddings, improving document segmentation and phrase extraction models, gazetteer-based extraction, and more.

Lena's work experience also includes a role as a Master Student at the Universiteit van Amsterdam from 2009 to 2011.

From 2005 to 2009, Lena worked as a Software Engineer at IBM, Rational. Lena implemented critical features and enhancements to the Rational core build technology, improved the team development process and software quality, and participated in software development cycles of Rational products.

Lastly, from 2002 to 2005, Lena worked as a Tutor/IT Support/Research Assistant at Portland State University. Lena conducted research on data mining tools for finding mathematical structures in children's gameplays.

Overall, Lena Bayeva's work experience demonstrates a strong background in NLP and AI, with expertise in developing models, overseeing projects, and contributing to research and development efforts in various organizations.

Lena Bayeva's education history includes a Master's degree in Artificial Intelligence from the University of Amsterdam, which they obtained from 2009 to 2011. Prior to that, they pursued a Bachelor's degree in Computer Science from Portland State University from 2002 to 2005. From 1998 to 2000, they completed a Bachelor's degree in Informatics, Linguistics, and Intercultural Communications from the North Caucasus Federal University.

In addition to their formal education, Lena Bayeva has obtained several certifications. These include the Deep Learning Specialization, Sequence Models, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Neural Networks and Deep Learning, and Machine Learning, all from Coursera. Lena also holds the edX Verified Certificate for Computational Probability and Inference, as well as the edX Verified Certificate for Learning From Data (introductory Machine Learning course) from edX. The specific months and years of obtaining the edX certificates are not provided.