Senior Software Engineer · Center Stage · Boston, MA

Andrew Galvin

I build scalable systems and real-time market monitors for the live-events resale industry. I work AI-first and ship production software fast, with the tests to prove it's right.

See my work View résumé
peak requests a day, Ticket Monitor
50M
active users on eSnipe
194
searches monitored around the clock
285

Numbers current as of June 2026

About

I'm a senior software engineer at Center Stage, a ticket-resale company. I build the systems that manage inventory at scale and the monitors that find new angles on what to buy and where.

My own projects taught me production the hard way. Ticket Monitor ran at a scale where concurrency, rate limiting, and retries stopped being theory, and it's a big part of how I landed this job. eSnipe is live today on web, iOS, and Android, and still growing.

I work AI-first. Claude, Cursor, Codex, and ChatGPT are in my daily loop for scaffolding, tests, and review. I also build with LLMs directly: local-model pipelines with human review where it matters. The tools buy speed. The discipline keeps quality and testability non-negotiable.

Before this I was at Fidelity, building internal deployment platforms and often acting as de facto tech lead. M.S. in Applied Computer Science (AI/ML, 4.0 GPA) from Wentworth. Off the clock: portrait photography.

AI leverage, human judgment

Assistants accelerate the typing. Design decisions, reviews, and the final word on correctness stay human.

Tests are the contract

Speed only counts when it's safe to keep. Code that can't prove itself doesn't ship.

Built for production

Concurrency, rate limits, retries, observability. Designed in from day one, not patched in after the incident.

Projects

Retired · it landed me my current job

Ticket Monitor

A distributed monitoring platform that watched event inventory and alerted users to in-stock tickets in near real time. Concurrency controls, rate limiting, and fault-tolerant retries kept it reliable while it processed around 50 million requests a day. Now retired, but it opened the door to the work I do today.

  • Distributed systems
  • Concurrency
  • Rate limiting
  • Real-time alerting

In production since launch

eSnipe

An eBay monitoring and alerting platform serving 194 active users, with native iOS and Android apps and Discord alerts that land in seconds. It tracks 285 searches a day, each polling on a user-chosen cadence from every 5 seconds to every 60 minutes, and stays accurate inside strict external API limits.

  • Production operations
  • API integration
  • Notifications

esnipe.app ↗ App Store ↗ Google Play ↗

Earlier work

  • Sneaker Checkout Logs

    Dashboard monitoring bot checkout logs and Shopify bot protection.

    Retired

  • Supreme Tool

    Authenticated carting tool that adds items to cart in milliseconds.

    Video demo ↗

  • Discord Ticket Tool

    Decision-tree support automation with full conversation logging.

    Private build

  • Sneaker Profile Manager

    Creates and converts checkout profiles across major sneaker bots.

    Source ↗

  • Fooji Twitter Monitor

    Watches for Fooji giveaways with one-click entry on launch.

    Example entry ↗

  • Base Monitor Service

    Reusable Go foundation for multi-threaded monitors. The skeleton my crawlers start from.

    Source ↗

Experience & Education

  1. Apr 2026 – Present

    Senior Software Engineer

    Center Stage, LLC · Remote

    • Architect the fleet of Go services behind inventory management for a high-volume ticket-resale operation.
    • Design real-time market monitors that turn noisy marketplace data into buying signal: what to buy, where, and when.
    • Ship rapidly with an AI-first workflow and build LLM-powered internal tooling, holding the line on code quality and testability.
    • Own platform work end to end: design, build, deploy, operate. The interesting details are proprietary, but I'm happy to talk at a high level.
    • Go
    • Microservices
    • LLM tooling

  2. Jan 2025 – Apr 2026

    Software Engineer

    Fidelity · Boston, MA

    • Led the design and build of internal platforms that streamline production deployments.
    • Acted as de facto technical lead through team transitions: guiding system design, mentoring through code review, and keeping multi-service initiatives delivering.
    • Resolved production issues with root-cause analysis and durable fixes; a regular voice in cross-team architecture discussions.
    • Java
    • Deployment platforms
    • Root-cause analysis

  3. Jun 2023 – Dec 2024

    Associate Software Engineer

    Fidelity · Boston, MA

    • Implemented CI/CD pipelines for Java and Python services: reusable, documented foundations adopted by later projects.
    • Standardized build enforcement and dependency management across teams; owned role-based access configuration, service upgrades, and cross-system integrations.
    • Strengthened acceptance and component testing strategy while promoting a design-first mindset in reviews.
    • Java
    • Python
    • CI/CD

  4. 2022 – 2023

    M.S. Applied Computer Science

    Wentworth Institute of Technology · Boston, MA

    4.0 GPA · Concentration in Artificial Intelligence & Machine Learning

  5. 2018 – 2022

    B.S. Computer Science

    Wentworth Institute of Technology · Boston, MA

    3.6 GPA · Minor in Applied Mathematics · Dean's List every semester

View full résumé (PDF) ↗

Skills

Languages

  • Go
  • Python
  • Java
  • TypeScript
  • JavaScript
  • SQL

Backend & Platform

  • Node.js
  • REST APIs
  • PostgreSQL
  • AWS
  • Docker
  • CI/CD

AI-Augmented Development

  • Claude
  • Cursor
  • Codex
  • ChatGPT
  • LLM integration
  • Local models (Ollama)
  • AI-assisted testing
  • AI code review

Product & Practice

  • React
  • Angular
  • Electron
  • Stripe
  • System design
  • Testing strategy

Contact

Let's build something reliable.

Recruiting, collaborating, or just want to talk systems and AI-assisted engineering? My inbox is open. I usually reply within a day.