Sasha Sobol
About Sasha Sobol
Sasha Sobol is a Software Engineer with extensive experience in the tech industry, having worked at notable companies such as Google, Apple, and drive.ai. Currently employed at Anyscale since 2021, Sobol has held various engineering roles over a career spanning more than 15 years.
Current Role at Anyscale
Sasha Sobol currently serves as a Software Engineer at Anyscale, a position held since 2021. The company is known for its focus on simplifying distributed computing. In this role, Sobol contributes to the development of scalable software solutions, leveraging expertise gained from previous positions in the tech industry. Anyscale operates from San Francisco, where Sobol continues to enhance their engineering skills.
Previous Experience at Drive.ai
Sasha Sobol has a notable history with drive.ai, where they worked in various capacities. Sobol initially joined as a Senior Software Engineer in Infrastructure from 2016 to 2019, contributing for three years in Mountain View, CA. Additionally, Sobol served as a Staff Software Engineer for 11 months in 2018 to 2019, further solidifying their experience in the autonomous vehicle sector.
Experience at Apple
Sasha Sobol worked at Apple as a Software Engineer from 2019 to 2021. During this two-year tenure, Sobol was involved in various software development projects, contributing to Apple's extensive ecosystem of products and services. This role added significant experience in high-performance software engineering within a leading technology company.
Background at Google
Sasha Sobol's career includes an extensive eight-year tenure at Google, where they worked as a Software Engineer from 2006 to 2014. This experience provided Sobol with a strong foundation in software development and engineering practices, contributing to various projects that impacted Google's product offerings.
Founding Engineer at Scaled Inference
Before joining Anyscale, Sasha Sobol was a Founding Engineer at Scaled Inference from 2014 to 2016. In this role, Sobol played a key part in establishing the company's engineering practices and contributed to the development of innovative software solutions in the field of machine learning.