Pavel Nesterov
About Pavel Nesterov
Pavel Nesterov is a Machine Learning Engineer at Endava, with extensive experience in data engineering, AI development, and project management across various industries and regions.
Current Role at Endava
Pavel Nesterov is currently employed as a Machine Learning Engineer at Endava, where he works on-site. His role involves developing and implementing machine learning models to solve complex business problems. With a robust background in data engineering and machine learning, Pavel brings significant expertise to his position, contributing to the advancement of Endava's innovative projects.
Previous Experience at Endava
Before his current role, Pavel Nesterov served as a Data Engineer for an Asset Management Client with an AUM of 50 billion USD at Endava from 2021 to 2023. Based in Ljubljana, Slovenia, he was responsible for building and maintaining data pipelines, ensuring the efficient processing and storage of large datasets, and enabling sophisticated data analytics.
Experience as PyTorch and Serverless Cloud Developer
From 2019 to 2022, Pavel Nesterov worked as a self-employed PyTorch and Serverless cloud developer. During this period, he specialized in using AWS for deploying machine learning models and serverless applications. His work involved leveraging PyTorch for model development and AWS for scalable and cost-effective cloud solutions, providing robust and flexible architectures to clients.
Education in Artificial Intelligence and Deep Learning
Pavel Nesterov achieved a certification in HelloAIRIS - Artificial Intelligence Online Training from GE Healthcare, KTH Royal Institute of Technology, and LEITAT Technological Center in 2020, which lasted for 11 months. Additionally, he pursued a Deep Learning course from Udacity from 2019 to 2021. This education equipped him with critical skills in machine learning, AI, and deep learning techniques.
Advanced AI Solution Development
Pavel led the development of an advanced AI solution designed for large project bidding documentation. This solution integrates private knowledge and semantic search functionalities using GPT-3, enhancing the efficiency and accuracy of bid preparation processes. His work in this area demonstrates his proficiency in using leading-edge AI technologies to solve practical business challenges.