Steven Nguyen — Developer & AI Builder

Steven Nguyen

Software developer. Problem solver. Creator.

I build software, automation tools, and AI systems focused on making things faster, smarter, and more efficient. Most of my work lives in C#, .NET, and backend development, with a growing focus on AI-assisted workflows and automation.

Currently studying Computer Science at Wichita State University while preparing for software engineering roles in backend development and data analytics.

Outside of tech, I enjoy taking photos, making videos, and documenting moments through creative projects, travel, and everyday life.

Python · JavaScript · TypeScript · Swift · SQL · Bash · AppleScript

Astro · React · Node.js · SQLite · Docker · Git

Claude API · OpenAI API · Canvas API · Brave Search API · ElevenLabs API · Telegram API · Polymarket API · Tailscale · Linux · macOS

AI/ML · Agent Architecture · Automation · Web Dev · Systems Design · Market Analysis

> auto-accept Yerb 2.8

0 tokens 0%

yoursite.com

● Now in beta

Ship faster.

Build smarter.

The modern platform for teams who want to move fast without breaking things.

Get started View docs →

99.9% Uptime

2.4M Requests/day

<50ms Avg latency

100 Performance

100 Accessibility

100 SEO

0.4s Load

9:41

1,847 kcal

of 2,400 goal 553 remaining

Protein 142g

Carbs 186g

Fat 61g

Meals 3 logged

Breakfast Eggs, toast, avocado

520

Lunch Chicken bowl, rice

785

Snack Protein shake

542

CI / CD ● main

✔

Build

23s

✔

Test

1m 47s

✔

Lint

12s

Deploy

...

Test Suites

✔ auth.test.ts 24 passed

✔ api.test.ts 61 passed

✔ db.test.ts 38 passed

✔ utils.test.ts 24 passed

147 passed · 0 failed

Commits

feat: add rate limiting a3f2c91 · 4m ago

fix: token refresh race e7b1d04 · 22m ago

refactor: extract middleware 1c8e3fa · 1h ago

merge: feature/auth 9d4a2b7 · 3h ago

Claude ●

Build me a dashboard

I'll set up React with D3 for the charts. Adding real-time data via WebSocket and a responsive grid layout.

Add dark mode too

↑

POST /v1/chat/completions 200 stream

request

{
  "model": "claude-sonnet-4-20250514",
  "max_tokens": 1024,
  "messages": [{
    "role": "user",
    "content": "Analyze this dataset"
  }]
}

response

I'll start by loading the CSV and checking for null values across all columns, then compute summary statistics

~/projects

$ npm create astro@latest

◼ tmpl Using: blog

◼ deps Installing...

✔ Done

$ npm run build

building (SSG)...

✔ 14 pages built in 1.86s

$ ▋

agent.py

 1  import anthropic
 2
 3  async def run(prompt: str) -> str:
 4      client = anthropic.Anthropic()
 5      msg = client.messages.create(
 6          model="claude-sonnet-4-20250514",
 7          max_tokens=1024,
 8          messages=[{
 9              "role": "user",
10              "content": prompt
11          }]
12      )
13      return msg.content[0].text

● Active

Scrape listings

Score deals

Send alerts

[14:02:31] Fetched 47 new listings

[14:02:33] Match: 2019 Tacoma — $28,400

[14:02:34] Scoring batch 2/3...

[14:02:35] _

GET /api/v1/projects 200 23ms

{
  "data": [
    {
      "id": 1,
      "name": "fuel-ios",
      "status": "live",
      "stars": 128
    }
  ],
  "total": 6,
  "cached": true
}

I'll build
your site

I design and develop fast, custom software — no templates, no bloat. Hand-coded with modern tools, deployed in days not months. If you want something that works and ships fast, let's talk.

Custom Built No templates. No boilerplate. Built to spec from scratch.

Fast Sub-second load times. Lighthouse 100s across the board.

Right Tool, Right Job Swift, Python, React, Astro — whatever fits the project.

Start a project →

Projects

(hover)

Fuel

Native iOS calorie tracker with AI food parsing, barcode scanning, HealthKit sync, and Apple Watch companion.

Type what you ate in plain English — AI parses it into calories, protein, carbs, and fat with confidence scores. Barcode scanning for packaged foods. HealthKit sync, Apple Watch companion, and home screen widget.

Stack Swift · SwiftUI · SwiftData

Input AI parse · Barcode · Manual

Sync HealthKit · Watch · Widget

Yerb

Personal AI assistant running 24/7 on a Mac Mini. Manages calendar, automates coursework, runs autonomous builds overnight.

847h uptime · 4 agents

24/7 autonomous AI assistant on a Mac Mini. Manages calendar, automates coursework, runs overnight builds, hunts vehicle deals, and drafts content — all without being asked.

Runtime OpenClaw · Claude · Python

Agents Scheduler · Market · Scraper · Builder

Infra Mac Mini · Always-on · launchd

Token Tracker

Native macOS widget tracking Claude Code usage in real-time. Parses sessions, shows per-model breakdowns and costs.

Status Active

Native macOS widget that parses Claude Code session files in real-time. Tracks per-model token breakdowns across Opus, Sonnet, and Haiku with estimated cost calculations. Multi-device iCloud encrypted syncing, Discord rich presence support. Reads directly from ~/.claude — fully local, fully private.

Stack Swift · SwiftUI · WidgetKit

Updates Every 15 min via timeline provider

Sizes Small + Medium widget families

Marketplace Scraper

Automated vehicle deal finder for Toyota Tacoma & 4Runner. Scrapes listings, scores deals, sends alerts.

Status Active

2016 4Runner SR5

$24,500

82k mi · 4WD · Clean title

Automated Craigslist scraper that finds Toyota Tacoma and 4Runner deals. Scores listings by price, mileage, year, and condition — sends high-scoring matches straight to Telegram.

Stack Python · BeautifulSoup · SQLite

Alerts Telegram Bot API · Instant push

Schedule Cron · Integrated into Yerb

Neural Networks

Custom neural network library — backpropagation, activation functions, convolutional layers — no frameworks.

Status In Progress

forward pass

inputhiddenhiddenoutput

Neural network library built from scratch with only Python and NumPy. Dense layers, conv layers, backpropagation, activation functions — every gradient computed by hand.

Stack Python · NumPy · Matplotlib

Layers Dense · Conv2D · Activations

Training SGD · Momentum · LR scheduling

Vault Keeper

AI-powered accountability system built on Obsidian. Reads journals, detects behavioral patterns, generates briefs.

Pattern: overcommit Sun → burnout Tue

LEGACY → Yerb

AI accountability system built on Obsidian. Reads journal entries, detects behavioral patterns, and generates weekly briefs using your own words against you. Evolved into Yerb.

Stack Python · Claude API · Obsidian

Analysis Pattern detection · Self-sabotage tracking

Output Friday briefs · Recovery plans