Ulada K.
About Ulada K.
Ulada K. is an NLP Engineer with experience in deploying Natural Language Processing solutions and expertise in Large Language Models for Conversational AI. She has worked at EffectiveSoft and Vizor Games in Belarus and is currently employed at capital.com in Poland.
Work at Capital.com
Currently, Ulada K. serves as an NLP Engineer at Capital.com, a position held since 2022. Based in Warsaw, Mazowieckie, Poland, Ulada focuses on deploying natural language processing solutions that enhance the company's offerings in financial technology. The role involves leveraging expertise in natural language understanding algorithms and large language models to improve conversational AI applications.
Previous Experience at EffectiveSoft
Before joining Capital.com, Ulada K. worked at EffectiveSoft as an NLP Engineer from 2020 to 2022. During this two-year tenure in Minsk, Belarus, Ulada specialized in deploying NLP solutions, contributing to various projects that utilized natural language understanding algorithms to enhance software capabilities.
Experience at Vizor Games
Ulada K. also gained experience as an NLP Engineer at Vizor Games, where they worked for seven months in 2018 and 2019 in Minsk, Belarus. This role involved applying natural language processing techniques to gaming applications, further developing skills in the field.
Education and Expertise
Ulada K. holds a Bachelor's degree in Computational Linguistics from Minsk State Linguistic University, where studies took place from 2016 to 2021. This educational background provides a strong foundation in both linguistics and technology, enabling Ulada to specialize in deploying NLP solutions and working with large language models for conversational AI applications.
Skills in Data Engineering
In addition to NLP expertise, Ulada K. possesses skills in data engineering, particularly relevant to generative AI projects. This skill set supports the development and implementation of advanced AI solutions, enhancing the effectiveness of natural language processing applications.