Software engineer building fast, reliable systems across iOS and backend.
I specialize in real-time data, fintech infrastructure, and production-ready mobile apps — with a focus on performance, clarity, and shipping.
New York, NY · Open for contracting work
I'm a software engineer with experience across iOS, backend systems, and data-intensive applications.
I enjoy working close to the metal when performance matters, and close to users when product quality matters. I've built real-time pipelines, production mobile apps, and internal tools used by teams to move faster and with more confidence.
I'm currently looking for roles where I can work on meaningful systems, strong engineering culture, and real-world impact.
Middleware layer for Solana token trading, transforming raw blockchain data into feature-rich feeds with execution hooks for real-time trading.
Led product development for Instagram-to-Threads integration, driving significant user growth through crossposting and onboarding flows.
Re-architected how attributions are displayed for IG feed posts into a scalable, protocol-based system.
Freelance
Building and maintaining iOS applications for clients. Swift, SwiftUI, and UIKit development with a focus on clean architecture and performance.
Independent
Building real-time trading middleware for Solana using Kafka, gRPC, and Jito Network for ultra-low-latency execution.
Quantitative trading and investment research focused on cryptocurrency markets and DeFi protocols.
Software consulting and iOS development services for startups and enterprises.
Meta (Instagram / Threads)
Led iOS product development for Threads integration. Drove +510K daily posts via crossposting, +40% user onboarding, and re-architected the attribution system from Obj-C to Swift.
Audible (Amazon)
iOS engineer and release manager. Led API migration reducing service calls by 50% and owned server-driven UI architecture rollout.
Globalstar
Built iOS apps for satellite IoT devices in Swift and React Native. Implemented CI/CD with Fastlane and BluetoothLE integrations.
Architecture patterns for processing blockchain data at scale using gRPC streams, Kafka, and low-latency execution via Jito Network.
How data-driven feature development and A/B testing drove 510K+ daily posts and 40% increase in user onboarding at scale.
Lessons learned from re-architecting Instagram's attribution system into a scalable, protocol-based Swift framework.
I'm eager to apply my data-driven product expertise and experience with low-latency, high-volume infrastructure to financial, fintech, and other data-intensive domains.