Hey there!
About Me
Hi, I'm Alan Garber — a frontend developer turned AI engineer. After years of building user-facing apps, I joined the Fractal Tech accelerator in Brooklyn, NY to deepen my backend skills and retrain in AI development. Along the way, I worked with multiple startups on fast-moving, high-impact projects involving full-stack engineering, LLM integrations, and scalable infrastructure.
Originally trained in law, I discovered programming during the COVID lockdowns and learned to build React and TypeScript apps. Further curiosity eventually led me to backend development with Go and Python, database design with PostgreSQL, and AI tooling using the OpenAI SDK. I'm especially excited about projects that combine UX with real technical depth.
Recently I've been focused on Apacen Trading, a Polymarket data plane and paper-trading backend that ingests live microstructure data, writes into partitioned Postgres tables, and exposes a Next.js dashboard for strategy monitoring. Before that, one of my favorite projects was a full-stack tarot reading app — built with a Go backend, React frontend, and PostgreSQL database, deployed on AWS with Nginx.
I'm currently looking for full-stack or AI-focused roles where I can help teams move quickly, think clearly, and build meaningful software. If that's you, let's talk.
Apacen Trading
Apacen Trading is a Polymarket data and strategy platform I built in the fall of 2025. It ingests live quotes and trades from Polymarket, writes them into hourly-partitioned PostgreSQL tables, computes rolling features, and exposes the results via a typed Go API and a Next.js dashboard.
The system is designed to behave like a small trading backend: high write volume, COPY-based batch persistence, archiving old partitions to object storage, and a paper-trading layer for experimenting with strategies that can lose (or make) millions in backtests without touching real money.
The public dashboard surfaces ingest rates, lag across data streams, microstructure-based price jumps, and paper strategy P&L, along with an FAQ explaining why the prices it shows can differ from the Polymarket UI. The diagram on the right shows how data flows through the system.
Apacen Trading
How does data flow through the system?
Websocket Ingest
Quotes & trades from Polymarket in real time
↓
Feature Engine
Computes short-horizon returns & volatility
↓
Persister
Batches data into Postgres via COPY
↓
Database
Stores recent market microstructure history
↓
Archiver / Janitor
Archives old partitions to S3 & cleans up
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Strategies
Runs paper trades & tracks P&L
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Dashboard
Shows ingest, lag, events & stats
Skills
HTML
CSS
JavaScript
React
Docker
Golang
Node.js
Git
Python
Postgres
Projects
Apacen Trading – Polymarket Data Plane
- •High-volume ingest of Polymarket quotes & trades
- •Go + Postgres backend with hourly partitions and COPY batching
- •Next.js dashboard showing ingest, lag, events, and paper strategy P&L
Tarot Card Reader
- •Full-stack tarot reading app with generated art & explanations
- •Go backend, React frontend, and PostgreSQL database
- •Deployed on AWS with Nginx, emphasizing end-to-end delivery
Multiplayer Mancala
- •Real-time multiplayer Mancala board game
- •Built with Next.js, WebSockets, and TypeScript
- •Showcases real-time state management and game logic
Tilt Maze App
- •Mobile maze game controlled by device tilting
- •Built with React Native and Expo
- •Published on the App Store with accelerometer-based controls
Image Lookup
- •Image search and lookup application
- •Built with Next.js and image search APIs
- •Features advanced search and a responsive gallery
Fractal Internships
These are companies I worked for and projects I completed while I was completing the Fractal Tech bootcamp
ESAI
- •Created a performant web scraper using Brave Search API, Playwright, and Vercel AI SDK
- •Developed system to output formatted JSON information for downstream processing
- •Built solution that continues to be used in production environments
HD Research
- •Built and deployed a Next.js/TypeScript landing page with auth and payments wired in
- •Wrote Mintlify docs for the Vers service, speeding up developer onboarding
- •Refactored Go CLI tools and production services deployed via Docker and AWS
Steer
- •Developed backend features in Flask and Python, integrating Twilio for customer communications
- •Improved DevOps workflows while implementing frontend enhancements in React and TypeScript
- •Performed database normalization in PostgreSQL to improve data integrity and performance
Contact Me
It'll go straight to my email, and I'll get back to you within the day.