NYC --:--:--
Alex Hutton.
#0099NY · USA · EST. 1999

Alex
Hutton.

Software engineer & technical PM building real-time platforms for things that move fast — races, rescues, and the rest. Currently co-creating Project88 at Super Race Systems.

BasedNew York, NY
RoleProject Manager / Engineer
AtSuper Race Systems
BuildingProject88
StackPython · TS · Docker
StatusOpen to conversation
Download résumé Email me
01
0YRS +
In event technology, real-time data & platform development
02
0EVENTS/YR
Managed company-wide, 60 personally coordinated
03
0PEAK W/END
Participants synced at peak — 50–100K on a busy weekend
04
0ORGS +
Running on Project88 across Big River Race Management
§ 01 — Currently Updated Q2 2026

What I’m doing right now.

I build and run the systems behind a live race-timing platform — the one that puts finish times on the board while 50,000 people are still moving. I’m split between engineering, operations, and being the person who gets called when a gun mat stops reading.

  • liveProject88 — syncing 25+ orgs, pushing features for scoring, verification and AI chat.Aug ’24 — now
  • ops60 events this year personally — pre-race logistics, race-day timing, post-race data.Rolling
  • edgeBib-detection pipeline — YOLOv8 + OCR on Jetson Orin Nano, FastAPI serving results at the stripe.Active
  • learnSwift — because some of these race-day tools want to live in my pocket, not on a laptop.2026
  • offStill running, still swimming. Usually both in the same week.Always
§ 02 — Selected Work 3 shown / many more

Things I’ve shipped, in the open.

Case № 01 / Platform

Project88

A race-management platform built in under a year — from registration sync to live scoring to public results. AI-augmented development from day one.

Python · FastAPI React · Next PostgreSQL Docker · 22 services Claude Code
50–100K
participants / weekend
25+
active organizations
22
service containers
< 1 yr
to production scale
Modules → participant ingestion · scoring engine · public results · pre-race time verification · AI chatbots adopted by NYRR & others.
Case № 02 / Edge AI

Bib Detection

Computer vision at the finish stripe — YOLOv8 object detection + OCR, running on a Jetson Orin Nano, with a FastAPI back-end and SQLite log.

YOLOv8 OCR Jetson Orin Nano FastAPI · SQLite
real-time
on-device inference
edge
no cloud round-trip
web UI
operator dashboard
field-tested
at actual finish lines
Why it matters → catches reads that mats miss — low-contrast bibs, runners off the chute centerline, photo-finish blur.
Case № 03 / Ops Platform

Lasso Successor

Replaced a legacy internal project-management system — the one everyone in the company lived in — in two months. Rolled up into Big River Race Management.

React · Python RunSignUp API Google Workspace Calendar sync
2 mo
start → company-wide rollout
150+
events managed on it
0
downtime to legacy cutover
BRRM
adopted parent-company-wide
Integrations → calendar sync · email templates · registration & scoring workflows · RD collaboration tools.
§ 03 — Stations A decade-ish

The splits.

#PositionOrganizationWhenStatus
01 Project Manager / Engineer Super Race Systems · New York, NY Aug 2024 — now current
02 Desktop Administrator Nordic Global · Charleston, SC Apr 2024 — Aug 2024 hospital IT
03 Assistant Manager Strictly Running · Columbia, SC Sep 2018 — Jan 2024 115 events / yr
04 Ocean Rescue Lifeguard Supervisor CCPRC · Folly Beach, SC Apr 2015 — Aug 2021 · seasonal tide
§ 04 — Toolkit & Signals What I reach for

Stack, and what’s on my mind.

// Toolkit

Languages
Python, TypeScript / JS, SQL, Java · Swift (learning)
Backend
FastAPI, Flask, Spring Boot, Node
Frontend
React, Next.js
Data
PostgreSQL, SQLite, Redis
Infra
Docker, Linux, nginx, GitLab CI, Ansible, Tailscale
AI / ML
Claude Code, YOLOv8, OpenAI & Anthropic APIs, edge inference on Jetson
Dev ethos
Ship it, operate it, iterate. AI-augmented from day one.

// Signals

→ deep
Real-time data & race-day ops. The gap between “the system says” and “the runner sees” is where I like to work.
→ craft
Small, composable services over monoliths-with-feature-flags. Bias toward visibility and operator tooling.
→ edge
Computer vision at the stripe. YOLO on Jetson, purpose-built, low-latency, runs without the internet.
→ field
Outside. Running, swimming, ocean. Lifeguard habits still inform how I build: calm, checklist, re-verify.
→ next
Swift + on-device tooling. Race directors shouldn’t have to carry a laptop to see what their event is doing.

// Education

AAS, Computer Programming
Trident Technical College · Charleston, SC · Magna Cum Laude · 2024
§ 05 — Elsewhere

Want to build something on the clock?

I’m open to conversations about real-time systems, event tech, computer-vision tooling, or AI-augmented engineering teams. Fastest channel is email.

  • Emailalexhutton99@gmail.comWrite →
  • RésuméPDF — 1 pageDownload →
  • BasedNew York, NYMap →
  • BuildingProject88 @ Super Race SystemsLive