Miguel A. Garcia

New York, NY

Production Engineer, Meta

B.S. Computer Science, Texas A&M

Here is my resume

I build reliable software systems with a focus on performance, observability, and developer-friendly tooling. My background spans large-scale messaging infrastructure, CI/CD and runtime platforms, and machine-learning driven products.

Distributed Systems Production Engineering Performance Optimization Load Testing Machine Learning Full-Stack Projects

I’m Miguel Garcia, a software engineer who enjoys working close to the systems that matter most. At Meta, I’ve worked on messaging infrastructure where the job is equal parts performance tuning, observability, incident response, and making sure critical storage systems stay dependable at scale.

Before that, I worked in DevOps and runtime engineering at Goldman Sachs and spent several semesters as a peer teacher and teaching assistant at Texas A&M. That mix of production work and teaching shaped how I approach engineering: solve the hard problem, document it clearly, and leave the system easier for the next person to understand.

What I Work On

Backend infrastructure, pub/sub messaging systems, system performance, debugging workflows, and tooling that helps teams move faster with less guesswork.

Recent Impact

Improved distributed storage latency and throughput, built load-testing frameworks for migration planning, and added observability that reduced client-facing error rates.

How I Build

I like practical engineering: measure first, simplify where possible, and design dashboards, alerts, and runbooks that make production systems easier to operate.

Tools I Reach For

Python, Java, C/C++, TypeScript, React, TensorFlow, PyTorch, GraphQL, SQL, Docker, Linux, Firebase, and Azure DevOps.