Venkata S Praveen Gorthy
About Venkata S Praveen Gorthy
Venkata S Praveen Gorthy is an Engineering Manager at Anyscale, where he has worked since 2022. He has extensive experience in engineering management, having previously held positions at Uber and PayPal, and he possesses multiple degrees in engineering and computer science.
Work at Anyscale
Venkata S Praveen Gorthy has been serving as an Engineering Manager at Anyscale since 2022. In this role, he manages teams that focus on optimizing performance and scalability for large language model (LLM) inference using VLLM. He oversees the development of hosted solutions, APIs, and tools that facilitate the creation of Generative AI products and the efficient deployment of AI services.
Previous Experience at Uber
Before joining Anyscale, Gorthy worked at Uber as a Senior Engineering Manager from 2015 to 2022. During his tenure, he contributed to various engineering projects in the San Francisco Bay Area, leveraging his expertise in software development and team management.
Career at PayPal
Gorthy's career at PayPal spanned several roles from 2010 to 2015. He began as a Software Engineer and later advanced to Senior Software Engineer in the Checkout division. He briefly served as a Member of Technical Staff in 2015. His experience at PayPal included a focus on software development and technical leadership.
Educational Background
Gorthy holds a Bachelor of Engineering in Electronics and Communications from Osmania University, where he studied from 2003 to 2007. He furthered his education by obtaining a Master's degree in Computer Science from Arizona State University from 2007 to 2009. Additionally, he completed multiple Nanodegree programs at Udacity, including the Self-Driving Car Engineer Nanodegree and the Deep Learning Nanodegree.
Achievements in Open Source and AI
Gorthy led the Kuberay open-source infrastructure initiative, which achieved a notable 20x year-over-year growth. His work includes managing teams that enhance the performance and scalability of AI systems, particularly in the context of Generative AI and LLMs.