Nikita Syromiatnikov

Machine Learning Engineer at Outreach

Nikita Syromiatnikov has a diverse work experience in the field of machine learning and software development. Nikita is currently working as a Machine Learning Engineer at both Outreach and Data Science UA since October 2022. Prior to this, Nikita worked at Serafima.ai as a Machine Learning Researcher from June 2019. In this role, they were responsible for designing dialogue system architecture, building pipelines for NLU tasks, training models, and reviewing the quality and performance of state-of-the-art solutions. Nikita also served as the Founder of Serafima.ai, where they focused on conversational AI technologies and solutions, including MVP creation, pre-seed investment raising, and team management. Before their time at Serafima.ai, Nikita worked as a Freelance Software Developer from September 2017 to September 2018.

Nikita Syromiatnikov has a solid educational background in the field of software engineering. Nikita earned their Bachelor's degree in Software Engineering from Odessa National Polytechnic University, graduating in 2021. Following their undergraduate studies, Nikita pursued further academic specialization and obtained a Master of Science degree in Software Engineering from the same institution in 2022. Nikita then continued their educational journey by pursuing a Doctor of Philosophy (PhD) degree in Software Engineering at Odessa National Polytechnic University, which they are expected to complete in 2027.

In addition to their formal education, Nikita has also obtained several certifications to enhance their knowledge and expertise. In 2019, they completed the "Introduction to Machine Learning" certification from Coursera. In 2020, they obtained the "Huawei: Seeds for the Future 2020" certification from Huawei and completed the "Specialization: Deep Learning" certification from Coursera. Most recently, in 2021, Nikita obtained the "Specialization: Mathematics for Data Analysis" certification from Coursera. These certifications demonstrate their commitment to continuous learning and staying up-to-date with the latest advancements in the software engineering field.

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Timeline

  • Machine Learning Engineer

    October, 2022 - present