Varun Ramesh
Machine Learning Engineer, Voice AI at Guava
Los Angeles Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolVarun Ramesh is a Machine Learning Engineer specializing in Voice AI with 13 years of software engineering experience and a Stanford CS background. He has driven real-world improvements to voice and video calling at WhatsApp and Messenger, extending low-level C/C++ VoIP and WebRTC stacks to boost call quality in challenging networks. At Meta he worked on protocol-level enhancements (STUN/TURN/ICE) and at Guava now focuses on ML-driven voice solutions, blending systems programming with applied ML. His open-source contributions include full‑stack work on Facebook’s Nuclide IDE and backend optimizations for the Redex Android bytecode optimizer, showing comfort across client, server, and performance tooling. Based in Los Angeles but with deep Bay Area roots, he pairs hobbyist game development instincts with production-grade engineering rigor. An unexpected thread across his career is a consistent focus on remote and distributed developer tooling and network resilience—tools that make large-scale collaboration and real-time communication reliable.
12 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (20)
code-optimization10
javascript10
c-language10
java10
javas10
android10
bytecode10
dex10
cprogramming-language10
optimization10
data-structure9
rpc9
data-structures9
algorithms8
algorithm8
Programming languages (14)
Github contributions (5)
facebookarchive/nuclide
Jun 2015 - Sep 2018
An open IDE for web and native mobile development, built on top of Atom
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:46 commits in 3 years 3 months
Contributions summary:Varun implemented both client-side and server-side components for the "Remote Find in Project Search" feature within the Nuclide IDE. Their work included creating the service for performing searches, and integrating the feature with the RemoteDirectorySearcher to enable searching in remote projects. In addition, the user updated the search functionality to incorporate case-sensitivity and subdirectory options. They also developed integration tests to ensure the functionality worked correctly.
mobile-developmentatomideon-top
facebook/redex
Jun 2019 - Aug 2019
A bytecode optimizer for Android apps
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits in 2 months
Contributions summary:Varun's primary contributions involve optimizing the bytecode for Android apps. They focused on improving the efficiency of the DexLoader, by calculating and reporting string sizes. Additionally, they added functionalities related to map_list metrics within the DexOutput, and calculated metrics. They also added new data structures and helper functions.
android-appsandroidbytecodekotlinoptimizer
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.