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Title: Full Stack Development: Secure Data Removal for Optery
Optery required a seamless solution to help users remove personal data, including phone numbers and addresses, from online databases. Using React for a user-friendly interface and Python for automation, we built a system that efficiently scans, identifies, and processes removal requests. With enhanced security features and automated workflows, Optery now provides a faster, more reliable way for users to take control of their online privacy.
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An AI agent that doesn't just answer questions — it works. 188 callable tools, 47 operating
modes, dual-LLM architecture (120B brain for reasoning, 70B executor for tool calling).
It scrapes job platforms for leads, scores them, writes personalized proposals, delivers the
code, and invoices the client. Fully autonomous revenue pipeline.
Capabilities include:
• Full codebase auditing (12-phase enterprise security protocol)
• Self-healing and self-evolving code
• ML pipeline training and deployment
• Multi-agent swarm orchestration
• Legal defense document generation
• Real-time web GUI command center
95 Python modules. Zero external agent frameworks — built from raw API calls.
Stack: Python, Groq API, FastAPI, asyncio, LightGBM, Rich TUI, WebSocket GUI
Full-stack SaaS architecture handling real money, real users, and real-time data in production.
What's under the hood:
• JWT authentication with email verification and password reset
• Tiered subscription system (Free/Starter/Pro/Elite)
• Stripe and PayPal payment processing with webhook handlers
• Real-time WebSocket streaming for live data
• ML model inference serving 25 markets simultaneously
• Admin dashboard with user management, signal quality metrics, and system health
• 3Commas webhook integration for automated trading
The API serves a React SPA with Babel CDN transpilation — zero build step, instant deploys.
Behind Nginx with SSL on Oracle Cloud, running as a systemd service within a 2GB memory budget.
Stack: FastAPI, React 17, SQLite, Stripe, PayPal, JWT, WebSockets, Nginx, systemd, Oracle Cloud
This project is a full-stack developer portfolio platform designed to present technical expertise through a modern, production-ready web experience. It combines a responsive React and TypeScript frontend with a Spring Boot backend and MySQL database to deliver an interactive portfolio, structured project showcase, and reliable contact management workflow. The solution is architected with scalability and deployment in mind, including containerization, CI/CD readiness, and cloud hosting support through platforms such as Google Cloud Run, Render, and Vercel.
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