Backend & AI Automation Engineer
Production-ready systems • API Integration • AI/LLM • Reliability
This is a live, working portfolio — not mockups or screenshots. Each demo below is a fully functional application running on my server right now. Try them out to see my coding style, architecture decisions, and attention to production details like security, error handling, and user experience.
Rate-limited & secure — safe to explore
Real APIs you can call programmatically
Full API documentation available
Upload a PDF or text file, then ask questions about its contents. The AI reads and understands your document to provide accurate answers.
How to use:
Simulate sending webhooks and watch them get processed in real-time. See queue management, success/failure rates, and processing history.
How to use:
Watch live system metrics update in real-time via WebSocket. See CPU, memory, request rates, and alerts as they happen.
How to use:
Connect your systems to third-party APIs, handle webhooks, sync data between platforms
Build AI-powered features using Claude, GPT, or other models — chatbots, document analysis, automation
REST APIs, database design, authentication, background jobs, caching
Real-time dashboards, alerting systems, data visualization, admin panels
Automate repetitive tasks, data pipelines, scheduled jobs, web scraping
Security audits, rate limiting, error handling, logging, deployment
Python
FastAPI, Django
AI/LLM
Claude, OpenAI, RAG
API Integration
REST, Webhooks
Databases
PostgreSQL, Redis
Linux
Server Admin
Automation
CI/CD, Scripts
Node.js
Express, APIs
Cloud
AWS, GCP, VPS