Priya R
I’m Priya R, a Software Engineer based in Mumbai with hands-on experience building reliable, production-focused products—from cross-platform desktop apps to full-stack web features and integrations.
About
I’m Priya R, a Software Engineer based in Mumbai with hands-on experience building reliable, production-focused products—from cross-platform desktop apps to full-stack web features and integrations. I enjoy solving real engineering problems and pay close attention to maintainability, testing-friendly design, and performance.
In my recent work, I’ve built Electron-based desktop applications for Windows and macOS, created native system-level integrations, and contributed to exam-integrity security features (including detection and monitoring controls). I also integrate AI/vision components like real-time object detection and have built learning-platform integrations (including LTI with Canvas), plus VR gameplay systems using Unity—so I like working across the full stack and across domains.
- 2 years' experience
- Joined September 2026
Skills· 15
Languages
- EnglishAdvanced
- HindiAdvanced
Industry experience
- Software & Internet
- Education
- Gaming
- Computers & Electronics
Work experience· 4 roles
Developed cross-platform desktop applications using Electron.js for Windows and macOS, including packaging, distribution, and native system-level integrations. Built native modules using C++ with Windows API and Swift + C++ on macOS (Core Graphics, Core Foundation, Cocoa/AppKit) for monitoring and control. Implemented exam-integrity security features such as RDP/VM detection, foreground application monitoring, keyboard restrictions, touch/swipe restrictions for laptops, and multi-display/virtual desktop checks. Integrated a YOLO object detection model for real-time mobile phone detection during exams. Contributed to full-stack web application development with Vue.js, .NET, Node.js, MySQL/MongoDB/DynamoDB, and AWS; also built a Chrome extension and implemented LTI authentication/integration with Canvas LMS for secure launch and communication.
Developed a multi-level VR game with enemy AI and gesture-based controls. Implemented gesture-based weapon switching, raycast shooting, state-machine-driven enemy AI, and physics-based object interactions. Optimized Meta Quest 3 performance through rendering profiling, draw call reduction, LOD tuning, and scene load management to maintain stable frame rates and reduce motion sickness.
Built a cryptographic wrapper to secure client-server communication over UDP using OpenSSL and mbedTLS. Implemented AES-GCM encryption, HMAC-based authentication, PBKDF2 key derivation, and Diffie-Hellman key exchange for end-to-end encrypted message passing.
Education
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