Monika Venčkauskaitė
About Monika Venčkauskaitė
Monika Venčkauskaitė is a Machine Learning Engineer based in Vilnius, Lithuania, with a strong background in physics and extensive experience in AI and cloud technologies. She currently works at Vinted and is a member of the Artificial Intelligence Association of Lithuania, focusing on the intersection of AI and sustainability.
Current Role at Vinted
Monika Venčkauskaitė has been employed as a Machine Learning Engineer at Vinted since 2021. In this role, she focuses on developing and implementing machine learning solutions to enhance the platform's capabilities. Her work involves utilizing cloud-based technologies, specifically Google Cloud Platform (GCP), to optimize data processing and model deployment. She contributes to the company's efforts in leveraging artificial intelligence to improve user experience and operational efficiency.
Previous Experience in Technology and Research
Monika has a diverse background in technology and research. She worked at VTeX, Solutions for Science Publishing as a Programmer for two months in 2017. She also served as a Research Assistant at Fermilab for two months in 2017. Her experience includes a summer internship at CERN in 2016 and a role as a Summer Intern at the University of Oxford in 2017. Additionally, she worked as a Researcher & Technical Consultant at NRD Cyber Security from 2019 to 2021 and as an Application Specialist at Telia Company from 2018 to 2019.
Education and Academic Background
Monika Venčkauskaitė holds a Bachelor of Physics in Applied Physics from Vilniaus Universitetas, which she completed from 2010 to 2014. She furthered her education by obtaining a Master of Physics in Theoretical Physics and Astrophysics from the same institution, graduating in 2016. Additionally, she pursued a Certificate in Pedagogy at Vilniaus Universitetas from 2014 to 2016, enhancing her educational qualifications.
Technical Skills and Specializations
Monika specializes in machine learning operations (MLOps) and employs tools such as Kubeflow and MLFlow in her projects. She utilizes Flask and FastAPI for developing application interfaces and leverages Terraform and Kubernetes for infrastructure management. Her expertise includes implementing continuous integration and continuous deployment (CI/CD) practices with GitOps methodologies using GitHub, which streamlines software development workflows.
Engagement in AI and Sustainability Discussions
Since 2021, Monika has been a member of the Artificial Intelligence Association of Lithuania, where she engages in discussions regarding the intersection of artificial intelligence and sustainability. She explores the implications of AI on human identity and self-definition, contributing to the broader dialogue on the ethical and societal impacts of technology.