Priyesh Wani
Senior Software Engineer at Roblox
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPriyesh Wani is a Senior Software Engineer with 11 years of experience building simulation, cloud rendering, and consumer-facing applications across game engines and web/mobile platforms. He has driven tooling and distributed rendering work at Unity and contributed backend fixes to Unity’s Perception toolkit for sim2real workflows, demonstrating an eye for production-ready data processing and cloud rendering compatibility. Prior roles include building MagicBand-related mobile and admin UIs at Disney and automation frameworks at TIBCO Spotfire, showing breadth from embedded experiences to enterprise test automation. Comfortable in C#, C++, Swift, Angular and Node.js, he blends engine-level programming with full-stack delivery. Based in San Francisco, he pairs hands-on engineering with a practical focus on cross-platform interoperability and performance-sensitive systems. An understated strength is his recurring focus on making advanced rendering and simulation tooling reliable in real-world CI/cloud environments.
11 years of coding experience
11 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Vishwakarma Institute Of TechnologyMaster's degree Computer Science, Master's degree Computer Science at University of Central Florida
English
Github Skills (8)
csharp10
dotnet-core10
json-serialization10
unity3d9
il2cpp9
computer-vision8
machine-learning7
testing6
Programming languages (3)
Github contributions (5)
Unity-Technologies/com.unity.perception
Nov 2020 - Mar 2021
Perception toolkit for sim2real training and validation in Unity
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 6 commits, 2 PRs in 3 months
Contributions summary:Priyesh primarily focused on fixing bugs and making minor updates related to data processing and annotation within the Unity Perception toolkit. They addressed issues related to compatibility with the IL2CPP platform, specifically concerning the use of LINQ in the Newtonsoft library. Further contributions included updating the test to adjust the formatting of the output metrics and adding support for cloud rendering, including minor fixes and updates.
validationdetectiondeep-learningcomputer-visionmachine-learning
Unity-Technologies/Unity-Simulation-Smart-Camera-Outdoor
Jun 2020 - Jan 2021
Unity Simulation Sample project for outdoor smart camera usecase
Contributions:9 PRs, 20 pushes, 6 branches in 8 months
camerasimulationoutdoorunityunity-simulation
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