Software Engineer with iOS, Full-Stack, and AI Data Engineering experience.
4 years of experience in fast-paced startups: rapidly delivering ambitious projects, quickly adapting to new technologies, and collaborating in dynamic remote environments.
Passionate about delivering high-quality, performant iOS experiences through rapid iteration and deep technical problem-solving.
Seeking a collaborative, mission-driven remote team where I can make a real impact.
June 2021 - November 2024 — Multiple roles and products
Full-Stack Software Engineer
Hotshot — Make personalized generative AI images & videos
Part of a team of 4 that trained a Sora-level text-to-video model from the ground up in 4 months, generating HD video up to 10s at 24 fps: hotshot.co/release
Built and managed distributed data processing pipeline in Python to prepare large image and video datasets for model training, handling 1B+ samples and multiple petabytes of data.
Led end-to-end frontend and backend product development for iOS app and website, including subscription paywalls, user-friendly and moderated model inference, and a personalized invite system.
Led all iOS development of a TikTok-style app from the ground up, managing the iOS team, conducting code reviews, and architecting the app to align with product specifications.
Drove rapid product iteration using feature flags, A/B testing, and dynamic, server-controlled UI, enabling feature adjustments without requiring new client builds.
Individually contributed to full-stack feature development, building a custom framework for on-device non-custodial crypto wallets, and the “Collabs” feature (FaceTime + Avatars) with live audio and multiplayer 3D avatar interaction.
Quickly onboarded onto an extensive, pre-existing codebase, shipping daily App Store updates to millions of users while maintaining consistent stability and performance.
Led the full-stack development of “Parties”, a Clubhouse-style livestreaming feature, collaborating closely with a designer to refine the user experience and interface.
Developed a high-performance, real-time hand tracking system, leveraging a customized framework to process raw camera data into precise 3D coordinates.
Developed an iMessage-style app to enable anyone to easily chat with AI in a familiar interface, following Apple’s HIG for an intuitive and seamless user experience.
Integrated llama.cpp with a Swift layer to run models optimized for on-device use like Llama, Qwen, and Ministral, and proxied requests to remote LLM APIs.
Implemented in-app subscriptions with RevenueCat, automated build distribution and metadata management with Fastlane, and automated testing with XCTest and XCUITest.
Designed and built a playful AR app for identifying and celebrating your favorite dogs.
Leveraged Vision, SpriteKit, and SwiftUI to deliver a real-time and interactive user experience.