Project Ava
React 19 built Personal AI infrastructure platform built to run persistent assistants, structured memory, and cross-device workflows on dedicated hardware. Includes a mobile-first PWA, operational monitoring, service integrations, and private remote access over Tailscale. Built with React, Express, SQLite, ChromaDB, and OpenClaw orchestration.
React 19 Vite 8 Tailwind 3.4 Express 5 TypeScript 5.9 SQLite (better-sqlite3) ChromaDB OpenClaw
Multi-tenant business management SaaS for informal employers, covering time tracking, invoicing, role-based access, subscription billing, and AI-assisted workflows. Built with React, TypeScript, Supabase, and Stripe, with database-enforced access control and production test coverage.
React 18 TypeScript Tailwind CSS Vite Zustand TanStack Query React Router v6 Supabase Auth
McQueenyML
Frontend: React built Production automation platform for an HVAC contractor's sales engineering workflow. 5-tier matching engine (pgvector embeddings, trigram fuzzy search, Claude AI fallback) indexes 553K files and 3,000+ equipment orders synced from SharePoint. Processes 10K+ XML specifications with 100% parsing accuracy. Built on Next.js, FastAPI, PostgreSQL, and ChromaDB with real-time sync pipelines.
Frontend: React TypeScript Vite Tailwind CSS. Backend: Python 3.11 FastAPI uvicorn. Database: PostgreSQL via Supabase (pg_trgm pgvector). ML: Ollama (qwen3:14b nomic-embed-text). Infrastructure: 7 NSSM services on Windows 11
Adze — AI for SOLIDWORKS
C# .NET 4.8 built Native SOLIDWORKS assistant implemented as a COM add-in that reads live CAD context through typed tools for dimensions, mates, mass properties, and BOM data. Built in C# on .NET with guarded write operations designed to keep model changes reviewable and reversible.
C# .NET 4.8 SOLIDWORKS COM API NUnit 3 MSBuild PowerShell WinForms WebBrowser
Oracle (Trade Signal)
Python 3.13 (miniconda3) built Systematic trading research platform for testing forecasting pipelines, signal fusion, risk gating, and paper-trading execution. Combines time-series models, sentiment inputs, technical signals, walk-forward validation, and an execution layer with explicit controls for sizing and risk.
Python 3.13 (miniconda3) FastAPI SQLite TensorFlow PyTorch transformers (FinBERT) React/TypeScript/Tailwind (ava_hub UI)