Ryan J Hamby

GPU Flight Recorder

Mon, 01 Jan 0001 00:00:00 +0000

Mar 2026

Finds the straggler in a distributed data-parallel training job and explains why it is slow. One slow rank makes every other rank wait at every collective; the symptom (step time went up) says nothing about the cause. Flight Recorder joins per-rank collective timing from the PyTorch NCCL flight recorder with per-GPU NVML telemetry, names the straggling rank, and ranks likely causes (thermal or power throttle, ECC errors, degraded PCIe/NVLink, GPU contention, host stall) with the evidence behind each.

FlowState

Mon, 01 Jan 0001 00:00:00 +0000

Mar 2026 - Oct 2026

GitHub repository

Rust-accelerated temporal join engine for point-in-time ML feature pipelines: join trades, quotes, and signals without look-ahead bias, in batch or streaming.

Rust as-of join engine with O(n+m) merge-scan kernels, zero-copy Arrow via the PyCapsule interface, and lock-free UnsafeCell writes across Rayon workers

Streaming incremental join with watermark-based emission, per-symbol state, and configurable lateness tolerance; streaming output verified identical to batch

132 Rust tests, including property-based checks of every kernel against reference implementations

Low-Latency Order Book Engine

Mon, 01 Jan 0001 00:00:00 +0000

Sep 2025 - Sep 2026

GitHub repository

Minimal, high-performance order book engine in C++ designed to explore the foundations of low-latency trading systems. Includes nanosecond-level order matcher skeleton, lock-free queues, thread-local memory pools, and automated benchmarking on AWS EC2 spot instances.

Built C++20 order matching engine with lock-free SPSC ingestion, thread-local slab pools, and inlined matching. On an isolated EC2 c6i.large core over 1M orders: P50 0.21 µs, P99.9 3.1–3.2 µs, 1.4–1.8M orders/sec

Automated EC2 spot benchmarking with cloud-init for reproducible, low-cost latency profiling

Latency and throughput figures are from the repo README (EC2 c6i.large, isolated core, 3 runs), not a pow run capture.

Intelligent Stock Screener

Mon, 01 Jan 0001 00:00:00 +0000

Nov 2025 - May 2026

GitHub repository

Fully automated stock screening system scanning 3,800+ US stocks daily using Mark Minervini’s Trend Template methodology. Identifies high-conviction buy/sell signals via phase-based trend classification, relative strength momentum, and fundamental quality filters.

Automated daily scans of 3,800+ stocks with 74% API reduction via Git-based fundamental caching and GitHub Actions automation

Phase-based classification identifying Phase 2 uptrend breakouts passing 7 of 8 Minervini criteria (50>150>200 SMA alignment, relative strength ≥70, volume confirmation)

Risk-managed position management with max 10% risk, min 2:1 R:R ratio, automated stop-loss trailing, and tax-aware filtering for long-term positions

Figures on this project are from the repo README, not a captured run.

Covariance-Based Macro Trading System

Mon, 01 Jan 0001 00:00:00 +0000

Aug 2023 - May 2026

GitHub repository

Systematic ES futures trading system powered by eigendecomposition of economic indicator covariance matrices. Decomposes 8×8 macro factor covariance to identify uncertainty regimes and size positions via macro surprise exposure.

Backtested on real FRED data over 17 years (2007–2024): 0.28 Sharpe, 2.10% annualized return, 3.2% max drawdown with half-Kelly, regime-adjusted position sizing

C++ factor decomposition engine (Eigen 3.4.0) processing 8 FRED indicators + VIX with AWS Lambda daily automation

End-to-end pipeline: FRED API → monthly frequency alignment (downsampling/Hermite interpolation) → spectral decomposition (Σ = UΛUᵀ) → S3, covered by 240+ unit tests

Core Hypothesis

Markets respond to unexpected economic information, not levels. Raw covariance is misleading—it captures expected relationships.

Kubernetes' Second Act: From Container Orchestrator to AI Operating System

Sun, 22 Feb 2026 00:00:00 +0000

Why Kubernetes never left, and how it became the default substrate for running AI inference workloads.

Optical Cables and Multicast: Why Your Network Hardware Matters More Than You Think

Fri, 17 Jan 2025 00:00:00 +0000

How fiber optics impact TCP/UDP multicast speeds, and which cables actually optimize for low-latency group communication.

Cache Eviction: 30 Years of Improvements

Sat, 11 Jan 2025 00:00:00 +0000

How cache hierarchies and eviction policies evolved over three decades, from simple in-memory buffers to modern tiered caches, and what the data says about their effectiveness.

About

Mon, 01 Jan 0001 00:00:00 +0000

Ryan J Hamby: software engineer working on AI compute, from serving to hardware. Background, interests and contact.

Contact

Mon, 01 Jan 0001 00:00:00 +0000

How to reach Ryan J Hamby.

Education & Skills

Mon, 01 Jan 0001 00:00:00 +0000

Education and skills.

Experience

Mon, 01 Jan 0001 00:00:00 +0000

Work history and key achievements.

Hobby Projects

Mon, 01 Jan 0001 00:00:00 +0000

Side projects: Java4Java, RhythmIQ and earlier student and hardware projects.