About
I’m a staff-level software engineer and startup CTO specializing in rapid prototyping and applied generative AI.
Over the past decade, I’ve built and scaled cross-platform consumer products from 0 to 1.6M users—designing end-to-end systems that blend LLM-based intelligence with delightful mobile experiences. I’m passionate about creating products and tools that enhance performance and bring joy to users.
I love tinkering and building around my hobbies in health and fitness. When I’m not coding, you’ll find me swimming, biking, or running around NYC (and beyond!) – you can find me on Strava here. I’m also interested in local politics, transportation, and urban design.
Portfolio
MySwimPro
2015-PresentThe world's leading swim training platform with AI-powered coaching, personalized workouts, and cross-platform training experiences for millions of users. Apple Watch App of the Year (2016).
Mini Bike Computer
2024Minimalist iOS/watchOS app for cyclists integrating GPS, sensors, and live telemetry with SwiftUI and CoreLocation.
Sun Exposure App
2023Consumer iOS app leveraging Apple Health APIs to visualize daylight exposure and health insights.
Experience
CTO & Cofounder
2015-PresentMySwimPro (Remote)
Built the world's leading swim training platform. Led engineering, product, and design teams in delivering AI-driven, multi-platform experiences.
- AI prototyping & integration: Designed and shipped the AI Swim Coach system — an LLM-powered workflow that generates personalized swim workouts, multi-week plans, and post-workout feedback using retrieval-augmented generation (RAG) with member performance data.
- Rapidly iterated on multiple genAI prototypes in production using OpenAI APIs, internal embeddings stores, and structured prompts; optimized for tone, accuracy, and personalization.
- Architected distributed backend on AWS (EB, S3) and reduced deploy times from 3 hrs → 1 hr through full CI/CD automation.
- Built and maintained major app surfaces across iOS/watchOS, Android, and Web, including workout execution engine, analytics pipeline, and payment systems (Apple, Google, Stripe).
- Partnered with Apple, Google, and Garmin engineering teams on watchOS and Android integrations; earned repeated App Store features.
- Hired and managed a cross-functional team; mentored across full-stack and AI prototyping workflows.
iOS Engineer
2015-2017Expedia (Ann Arbor, MI)
- Contributed to Expedia's flagship iOS app and several white-label travel apps.
- Migrated large Objective-C codebases to Swift 3 and improved modularity and build performance.
- Collaborated closely with design and backend teams on hotel search and booking flow experiments.
Software Engineer
2014-2015Thomson Reuters (Dexter, MI)
- Developed full-stack enterprise software for tax professionals using PostgreSQL, .NET Web APIs, and AngularJS.
- Shipped desktop and web features used by thousands of accounting firms.
Technical Skills
Languages
Swift, TypeScript/JavaScript, Python, Java, Kotlin, C++
Frameworks
Node.js, React, Next.js, Express, AWS, MongoDB
AI / ML
OpenAI, Anthropic, RAG pipelines, prompt orchestration, MCP Server
Tooling
Xcode, Android Studio, CI/CD (GitHub Actions, Fastlane), Docker, Sentry, Firebase
Platforms
iOS, watchOS, Android, WearOS, Web
Education & Awards
University of Michigan
BSE Computer Science, 2014
Forbes 30 Under 30
Consumer Technology, 2020
Activities
Desai Accelerator - University of Michigan
Mentored engineering students as they interned for startups, providing guidance on software development and career growth.
Optimize Program - Selection Committee
As a member of the Selection Committee, I helped choose which projects will be funded for the upcoming cohort. Projects are focused on social impact and range from technology products to community-building to education initiatives.