Ann Olegovna
@annolegovna
Machine learning engineer with expertise in AI and data analysis.
What I'm looking for
As a dedicated Machine Learning Engineer, I have a strong foundation in mathematics and programming, specializing in Python and R. My experience spans various roles, including developing machine learning models and tools for social networks, and lecturing on machine learning at HSE University. I thrive in collaborative environments, contributing to research and development projects that push the boundaries of technology.
At Samsung R&D Institute Russia, I honed my skills in hypothesis generation and data processing, leading to the successful training of NLP models for Android. My academic background from Saint Petersburg State University, coupled with hands-on experience in multi-agent reinforcement learning and explainable AI, positions me as a valuable asset in any tech-driven organization.
Experience
Work history, roles, and key accomplishments
Author and Lecturer
HSE University
Jul 2023 - Present (1 year 10 months)
Developed and lectured a course on Machine Learning for Masters in Legal Tech. Provided support for students in their master's theses.
Machine Learning Engineer
Underhood.dev
Jan 2024 - Present (1 year 4 months)
Responsible for prompt engineering to create an assistant for social media communication. Developed tools for controlling assistant message generation.
ML Engineer
Samsung R&D Institute Russia
Jul 2021 - Jun 2023 (1 year 11 months)
Conducted hypothesis generation and testing, developed data processing pipelines, and trained NLP models for Android devices.
ML Researcher
SPBU
Jan 2020 - May 2022 (2 years 4 months)
Researched multi-agent reinforced learning models and XAI algorithms in a team setting, collaborating with PhD students.
Trainee Developer
Naumen
Oct 2020 - Jan 2021 (3 months)
Analyzed documents and tested analytical hypotheses, contributing to the development of a mathematical model for a LegalTech project.
Education
Degrees, certifications, and relevant coursework
Saint Petersburg State University
Master's Degree, Applied Mathematics
2019 - 2021
Master dissertation: Explainable artificial intelligence for speech recognition.
Ural Federal University
Bachelor's Degree
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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