Ritesh
Pakala

Contracting agency enabling a role at Apple, Inc. Building AI solutions across Apple's platforms, native and scalable.

• Set up initial tools and frameworks for developing Sales training solutions for Apple, Inc.
• Established frameworks and configured iOS applications for prototyping purposes
• Provided architectural insight and aligned on the use of artificial intelligence
• Collaborated with Machine Learning Engineering (MLE) and Design teams
• Translated design team requirements into prototype solutions

Contributed to architecture design planning for the core mobile teams' iOS platform, influencing multiple specialized feature development teams within the Walmart iOS application.

• Analyzed data using ElasticSearch dashboards to monitor and visualize app size metrics
• Delved into team-specific integrated frameworks and third-party software details
• Worked in an agile environment with bi-weekly retrospectives, utilizing Jira and Confluence

Worked on 24FPS video application and computer vision features, rewriting the app from Swift/UIKit to SwiftUI.

• Rewrote 24FPS video application from Swift/UIKit to SwiftUI, including Auth, Profile, and Video Filter Previews
• Led development of Search/Explore feature for filter discovery
• Developed animated transition previews with infinite grid of before/after filter previews
• Achieved stable 4K video exports on iPhone 6s and above

Photo editing software with enterprise computer vision models. Built mobile AI features and represented the company at Samsung HQ.

• Independently designed and created Memoir app incorporating CoreML models for aesthetic ranking and auto-crop compositions
• Represented Polarr at Samsung HQ in Suwon, South Korea, delivering Machine Guided Composition for Samsung S10
• Demonstrated <6ms inferencing with SNPE model + custom OpenCV implementation
• Achieved <500ms 2x upscaling (1080p → 2160p) on iPhone X
• Collaborated with research scientists on functional prototypes using CoreML models

Seed-funded e-commerce startup. Developed a robust storefront and led the design and production of a complete menswear collection.

• Developed e-commerce storefront with Express/Node/EJS, Firebase, and AWS EC2 hosting
• Integrated Shopify for SKU management and payments
• Led design and production of a complete menswear collection from inception

Used SciKit/Python to process hi-res moon surface images and identify optimal landing zones.

• Created a novel process to identify optimal lunar landing zones using purely optical data
• Mapped locations and size of craters without elevation data