resume

Current resume and experience overview

Basics

Name Miguel Garcia
Label Production Engineer
Email miguelgi347@gmail.com
Phone (972) 261-3642
Url https://migugi347.github.io/
Summary Software engineer with experience across distributed systems, production engineering, developer infrastructure, and machine learning. I enjoy improving reliability, performance, and observability in systems that operate at scale.

Work

  • 2024.11 - Present
    Production Engineer
    Meta - Messaging Infrastructure
    New York, NY
    • Improved read and write performance of a distributed message storage system with cache preloading and reduced redundant data fetches, lowering read latency by 50% and increasing write throughput by 40%
    • Built a load testing framework ahead of a large-scale data migration, uncovering throughput risks that influenced migration strategy
    • Added observability across critical data flows, enabling detection of multiple production incidents and reducing client-side error rates by 20%
    • Designed dashboards, alerts, and debugging runbooks that became the team’s operational source of truth
    • Served as primary oncall engineer for a Tier 0 messaging storage service and documented root causes for high-severity incidents
  • 2024.07 - 2024.11
    Analyst
    Goldman Sachs - DevOps/Runtime Engineering
    Richardson, TX
    • Managed deployments and maintained infrastructure for a consumer-facing financial services platform
    • Built dashboards for real-time visibility into system performance and operational metrics
    • Debugged CI/CD pipeline issues to improve deployment reliability and reduce release failures
  • 2023.06 - 2023.08
    Software Engineer Intern
    Goldman Sachs - DevOps/Runtime Engineering
    Richardson, TX
    • Supported deployments and internal infrastructure for runtime engineering workflows
    • Improved operational practices and automation for a more reliable delivery process
  • 2021.08 - 2024.05
    Peer Teacher / Teaching Assistant
    Texas A&M University
    College Station, TX
    • Taught data structures, algorithms, and Python fundamentals across CS and engineering courses
    • Held weekly office hours supporting 100+ students

Education

  • 2020.09 - 2024.05

    Texas, US

    Bachelor of Science
    Texas A&M University, College Station, Texas
    Computer Science | GPA: 3.72/4.00
    • Distinguished Student Award (Spring 2022, Spring 2023)
    • Coursework included data structures, algorithms, machine learning, AI, and networking systems

Skills

Languages
Python
Java
C/C++
PHP
JavaScript
TypeScript
SQL
HTML/CSS
Frameworks & Infrastructure
React.js
Protocol Buffers
Thrift
Firebase
TensorFlow
PyTorch
MySQL
GraphQL
Developer Tools
Git
Linux
Docker
Azure DevOps
Jupyter Notebook
Concepts
Distributed Systems
Pub/Sub Messaging
Data Consistency
Observability
Performance Optimization
Load Testing

Languages

Spanish
Native speaker
English
Professional fluency

Interests

Technical Interests
Distributed Systems
Infrastructure
Machine Learning
Backend Development
Observability

Projects

  • 2024.02 - 2024.05
    Zenji - Kanji Learning App
    Created and trained a convolutional neural network for recognizing and providing feedback on kanji characters, then helped deliver the experience as a Progressive Web App.
    • TypeScript
    • Firebase
    • TensorFlow
  • 2023.04 - 2023.04
    ICU Mortality Prediction Model
    Built a mortality prediction model on ICU patient data, compared several architectures, and selected the strongest performer based on evaluation metrics after hyperparameter tuning.
    • Python
    • Pandas
    • PyTorch
  • 2022.01 - 2022.05
    KANM Student Radio Website
    Collaborated with a student team to build a working UI for the A&M student radio website and developed frontend components informed by Figma-driven design work.
    • React.js
    • Frontend Development
    • UI Design