iOS Contractor
Mathews Technologies
Ryan Mathews
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
About Me
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.
As a quantitative developer, I also build trading algorithms and low-latency systems for equities and cryptocurrency markets.
I'm currently looking for roles where I can work on meaningful systems, strong engineering culture, and real-world impact.
When I'm not developing, I enjoy negronis, Lil' Wayne mixtapes, and all sports Louisiana as a New Orleans native.
Current Work
Quantitative Developer
Mathews Capital
Companies
Software consulting and iOS development services for startups and enterprises.
Quantitative trading and investment research focused on U.S. equities, cryptocurrency markets, and DeFi protocols.
Projects
Cobile
iOS app and backend system for running AI agents against GitHub repositories with full visibility, approval controls, and secure patch workflows.
- SwiftUI iOS client with GitHub OAuth, real-time WebSocket event streaming, and offline session viewing
- Fastify API server with WebSocket upgrade, session management, and resumable event replay via monotonic sequencing
- Isolated runner architecture: ephemeral ECS Fargate containers operate on read-only snapshots with no GitHub write credentials
- Patch-based workflow: runners output diffs that a trusted applier service commits as PRs using user's OAuth token
- Infrastructure: Terraform IaC, SQS orchestration, S3 for snapshots/artifacts, Postgres for persistence
Quantitative Trading System
End-to-end algorithmic trading platform with Python ML research/backtesting framework and C++ real-time execution system for live equities trading.
- Python backtesting engine with walk-forward validation across 26 symbols (2018-2026), integrating Databento market data and FRED indicators into ClickHouse
- 12-feature ML pipeline using scikit-learn Random Forest classifiers for intraday Opening Range Breakout prediction
- C++17 real-time execution system with Interactive Brokers API integration for live order execution and market data streaming
- Thread-safe premarket data cache with concurrent tick aggregation, computing live features at market open for ML inference
- Dynamic position sizing and risk management system with trailing stops, time stops, and daily loss limits validated through systematic backtesting
Contract Work
iOS Engineer
Previous Experience
Software Engineer
Meta (Instagram / Threads)
Software Development Engineer
Audible (Amazon)
Mobile App Developer
Globalstar
Skills
Languages
- Python
- Swift
- Objective-C
- C++
- Rust
- JavaScript
- PHP
- SQL
iOS / Mobile
- UIKit
- SwiftUI
- React Native
- BluetoothLE
- Core Data
APIs / Backend
- REST
- GraphQL
- gRPC
- RPC
- Bash scripting
Databases
- ClickHouse
- Redis
- Redpanda
- PostgreSQL
Cloud / DevOps
- AWS (IAM, EC2, S3, VPC)
- Docker
- Terraform
- Apache Kafka
- CI/CD
Domain
- Product Engineering
- Data Analysis
- A/B Testing
- High-Traffic Systems
- Fintech / DeFi
Get in Touch
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.
What I'd love to chat about:
- Fintech and quantitative trading opportunities
- iOS / mobile engineering roles
- High-traffic product engineering
- Data-intensive systems and infrastructure