Jun. 2026
Fully automated crypto signal platform — watches 1-minute candles across BTC, ETH, and DOGE 24/7, filters noise through 8 confluence layers, and opens paper trades hands-off. No input required.
📡 Live Coinbase WebSocket feed
🎯 8-layer confluence filter stack
📈 Automated paper trade journal & equity curve
🔒 Free / Pro tiers with Stripe billing
⚡ Full-stack: Next.js · Supabase · Stripe · Resend
Upload a customer CSV and get instant exit-risk scores powered by a Gradient Boosting model trained on your own data — no configuration needed. Full-stack: Next.js 15 + FastAPI + scikit-learn.
Turn daily habits and goals into an RPG adventure. Level up by completing real-life quests, track streaks, and earn XP. Built with Next.js 15, TypeScript, and Tailwind CSS — deployed on Vercel.
Pioneered the tech infrastructure for a youth sports startup (ages 2–8, soccer & basketball) from the ground up. Built and managed the full web presence, registration systems, and operations — driving $60K+ in revenue in year one. MLS GO partner based in Atlanta.
California Closets
Supply Pilot —
Inventory & Purchasing SaaS
Designing and building a fully automated internal inventory system for California Closets — end to end. Integrates barcode scanning, UPC generation, automated stock tracking, purchase order workflows, and a QuickBooks financial sync written in C#. Eliminated manual inventory processes entirely. Business Analyst & Full Stack Developer. Proprietary — no public link.
California Closets
Final Mile —
Delivery Workflow SaaS
Building and maintaining an internal workflow platform that aligns installation, warehouse, scheduling, and delivery teams from part orders through final product delivery. Includes workflow tools, part order management, and account settings. Full Stack Developer and Business Analyst. Proprietary — no public link.
Deploy fine-tuned LLMs and GPT chat models for secure business integration. React framework with cost-efficient API requests, PII-safe chat logs, automated data collection, and RAG assistance.
Deploy supervised training/testing models with python code to explore the intersection of supervised machine learning algorithms and weather data to drive ClimateWins forward.
Utilizing supervised and unsupervised machine learning techniques with python to analyze top-view characteristics of yacht and boat listings on an online seller platform.
Using a predictive model to identify and segment banking members with a high likelihood of either exiting the bank or remaining as active or non-active members.
Utilizing python to conduct an initial data and exploratory analysis for Instacart to uncover sales patterns, derive insights, and segmentation strategies.
Utilizing SQL querying with relational databases to understand, prepare, and answer business questions for an online video rental company.
Analyzing trends for a medical staffing agency during influenza season, ensuring proactive national staffing planning for increased demand. (public data)
Utilizing Excel to optimize 2017 marketing budget for maximum ROI. Guide the executive board through results and facilitate informed budget redistribution decisions.