Jorge Zavala.
I build scalable backend systems and custom AI solutions.
I'm a backend developer from Montana, USA specializing in databases, APIs, and AI integration. I've worked with over 100 clients to design robust architectures that power modern applications.
01.About Me
Hello! I'm Jorge, a backend developer who enjoys creating efficient, scalable systems. My journey in software development has been driven by a passion for solving complex problems through clean, maintainable code.
I specialize in building robust APIs, optimizing database performance, and integrating AI capabilities into production applications. Having worked with over 100 clients, I've learned to deliver solutions that not only work but scale with business growth.
Here are some technologies I've been working with:
- ▹ Python / FastAPI
- ▹ Node.js / Express
- ▹ PostgreSQL / MongoDB
- ▹ Google Gemini
- ▹ OpenAI / Stable Diffusion
- ▹ Docker / AWS
🎓 Bachelor of Science in Finance • University of Montana
02.Things I've Built
Image Prompt Optimizer
An AI-powered image generation tool that solves the common problem of prompt iteration—users typically adjust prompts 5+ times before getting their desired result. Uses GPT-4o-mini to analyze and optimize prompts upfront with intelligent recommendations. Users select or customize descriptions, which are formatted as JSON and sent to GPT Image for precise, high-quality results on the first try.
- Python
- Streamlit
- OpenAI API
- GPT-4o-mini
- GPT Image
- SQLite
- Hugging Face Spaces
Prokal — Sports Prediction Market Analytics
A full-stack web app that surfaces opening odds, results, and underdog win rates from Kalshi prediction markets across 132 sports leagues. Users can query any league, analyze edge vs. market pricing, and export datasets as CSV for modeling. Built with per-user rate limiting, email-confirmed auth, protected routes, a waitlist system with social proof, and integrated feedback collection.
- Next.js 16
- TypeScript
- FastAPI
- Supabase
- Kalshi API
- Resend
- Vercel
- Render