Pavel Mikheev

Pavel Mikheev has a diverse and extensive work experience in software development and engineering. Pavel started their career in 2015 at the Applied Research Center for Computer Networks, where they worked as a Python/C++ Software Engineer. During their time there, Pavel contributed to the creation of a cloud platform that provided virtual network services for customer traffic. Pavel also integrated Docker containers and improved resource allocation algorithms.

In 2018, Pavel joined YANDEX as a C++ Developer in the AdTech Engine Team. Pavel was responsible for setting up new product features and developing effective advertising promotions. Pavel conducted A/B testing and implemented a new identification system, increasing test coverage and enhancing customer and campaign information storage.

From 2020 to 2021, Pavel worked at SberDevices as a Python Developer and Data Engineer in the Intelligence Search Team. Pavel played a crucial role in supplying data for the voice assistant search engine and developed backend systems using microservice architecture. Pavel worked closely with a team of data scientists during their tenure.

As a Freelance Machine Learning Engineer at Upwork in 2021, Pavel focused on self-development projects related to factory pipe condition monitoring. Pavel created and trained neural network models using TensorFlow, integrated them into a Python service, and deployed the optimized system that reduced production costs for clients.

At YANDEX in 2021, Pavel worked as a Python Engineer, developing the backend for an English educational product and a backend logic for educational kids. Pavel also built API monitoring and microservices tracing functionalities.

In 2022, Pavel joined Boost as a Senior Python Developer and led the development of a data pipeline for the US Sports Conference app. Pavel also improved testing and deployment scenarios using Docker and Ansible.

Following this, Pavel worked at arculus as a Senior Python Developer, contributing to the recreation of their product. Pavel also collaborated with international engineering teams to transform old products and built microservices using Python and FastAPI.

Currently, Pavel is a Senior Python Developer at Yokogawa Insilico Biotechnology GmbH, where they collaborate with international engineering teams to transform old products. Pavel is responsible for building microservices, controlling models, and processing data using various tools and technologies.

In summary, Pavel Mikheev has a strong background in software development and engineering, with experience in Python, C++, and machine learning. Pavel has worked on a variety of projects, from cloud platforms to advertising engines and educational products. Pavel has demonstrated their ability to lead teams, improve processes, and deploy optimized solutions.

Pavel Mikheev completed their Master's degree in Mathematics and Computer Science from Lomonosov Moscow State University (MSU) from 2016 to 2018. Prior to their Master's, they obtained a Bachelor's degree in the same field from MSU between 2012 and 2016. In 2019, Pavel took a Linear Algebra course at the Yandex School of Data Analysis. Later, in 2020 and 2021, they attended the Yandex School of Data Analysis again and completed the Machine Learning Course Part 1 and 2.