# Praveen Gowda I V

> Senior Software Engineer at Apple

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/praveengowdaiv

I build the kind of software other engineers build on. My focus is platform architecture, real-time systems, and API design—work that sits at the intersection of performance, reliability, and developer experience. I’ve led projects end-to-end, from early architecture and design reviews through implementation, optimization, and launch, often partnering across teams to turn complex systems into simple, dependable foundations. I enjoy hard constraints (latency, memory, concurrency) and ambiguous problems that need clarity and strong engineering judgment, and I care deeply about clean architecture and pragmatic execution that helps teams move faster.

## Work Experience
### Senior Software Engineer @ Apple
Jan 2023 – Present | Sunnyvale, California, United States
Continuing to own key architecture decisions and execution for multiple high-visibility initiatives at Apple.

● Designed and developed architecture to enable SharePlay with nearby people on visionOS.
● Lead the design and development of API and architecture for RoomTracking on visionOS.
● Responsible for design and architecture of various internal improvements to visionOS.
● Supervised design and development of ARKit API on visionOS.

### Senior Software Engineer @ Apple
Jan 2020 – Jan 2023 | Sunnyvale, California, United States
● Designed and built the architecture for running real-time algorithms running on Apple Vision Pro.
● Designed and built the ARKit API for visionOS.

### Software Engineer @ Apple
Jan 2018 – Jan 2020 | Sunnyvale, California
● Designed and built the API and integration of ARKit features such as Scene Reconstruction, Scene Depth, Raycasting, Simultaneous front and back camera, etc.
● Enhanced ARKit's real-time image processing pipelines to process multiple cameras (front and rear wide, ultra-wide, LiDAR, TrueDepth) simultaneously
● Built the ARKit algorithm processing pipelines to handle expensive algorithms non-synchronously alongside realtime tasks
● Analyzed and optimized the framework for efficiency and performance
● and more...

### Software Engineer Intern @ Fantasmo
Jan 2017 – Jan 2018 | Santa Monica, California
● Developed an Augmented Reality furniture app using ARKit for placing and transforming 3D models in AR
● Implemented high performance Metal and Core Image filters for processing of live video frames
● Implemented highly performant computer vision AR algorithms to run on iOS devices

### Software Engineer Intern @ Tile
Jan 2017 – Jan 2017 | San Francisco Bay Area
● Rewrote Tile’s Apple Watch app in Swift to support WatchOS3+
● Implemented over the air firmware updates on Tile BLE devices when the iOS app is in the background
● Developed a feature to detect iOS users getting on and getting off a car to prevent false positives in Lost Tile Alerts

### Research Assistant @ University of Southern California
Jan 2016 – Jan 2017 | Greater Los Angeles Area
●  Developed an iOS app to automatically detect and count bacterial colonies on agar plates using OpenCV
● Developed python pipelines and tools used for big data processing during protein/DNA sequence identification

### Software Developer (Scholar) @ SAP
Jan 2015 – Jan 2016 | Bangalore, India
Worked as a Developer on the SAP Business Objects for Mobile team.

● Developed the BI Query Builder for SAP Lumira on iOS. BI Queries allow the client to communicate with the server and offline BI calculation engines. I was responsible for the construction of the BI Query Builder which dynamically builds queries for documents aggregating information about visualizations, sorting, filtering, ranking, blending, etc.

●. Optimized the access to encrypted databases that store Web Intelligence document metadata on Mobile app to improve access times by over 35% which drastically improved performance of the application on older iOS Devices with limited memory and computing resources.

●. Responsible for conversion of the SAP Business Objects for Mobile app from using Manual Reference Counting to Automatic Reference Counting.


## Education
### Master of Science (M.S.) in Computer Science
University of Southern California

### Bachelor of Engineering (B.E.) in Computer Science
Dr. Ambedkar Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/praveeniv
- Portfolio: http://praveengowda.com

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Source: https://flows.cv/praveengowdaiv
JSON Resume: https://flows.cv/praveengowdaiv/resume.json
Last updated: 2026-03-29