I’m a Software Engineer II at Amazon Web Services working on payment infrastructure for AWS Marketplace. I make AI compute fast, efficient, and reliable, from the serving layer down to the hardware and the power behind it.
What I Do
I build resilient, high-performance systems. At work that means fault-tolerant, multi-tenant payment services; outside work it means the layer AI runs on: GPU telemetry for distributed training, open-source fixes in vLLM and Firecracker, and low-latency engines in Rust and C++.
Background
I graduated from the University of Michigan with a B.S.E. in Computer Science (Magna Cum Laude) and have spent my career building production systems at AWS. I’ve worked on distributed systems processing millions of requests per day, led infrastructure redesigns that unlocked hundreds of millions in annual revenue, and mentored engineers on system design principles.
Interests
- AI Compute & Inference - Serving, GPU utilization, and the cost per token
- Distributed Systems - Designing systems that scale and remain consistent
- Low-Latency Systems - Lock-free data structures, memory ordering, profiling
- Compute & Energy - Where datacenter power meets the grid
- Trading & Quant Systems - Algorithmic systems and quantitative analysis
Outside of Work
I’m passionate about continuous learning. I’ve built multiple mobile apps (iOS/Android), explored quantitative trading systems, and contributed to open-source projects. At the University of Michigan I led the M-HEAL Solar Fridge project, which developed thermoelectric systems to improve vaccine storage in developing countries.
Feel free to reach out on LinkedIn, GitHub, or email me at ryan.j.hamby@gmail.com.