Designed and developed a full-stack automation platform that helps businesses automatically generate leads, enrich contact data, and run personalized outreach campaigns at scale.
The system integrates multiple APIs, AI models, and CRM pipelines to automate the entire lead acquisition workflow from prospect discovery to outreach tracking.
The platform significantly reduces manual sales effort while increasing response rates through AI-driven personalization.
AI Property Maintenance Automation
AI-powered property maintenance automation designed to streamline how property management teams handle tenant maintenance requests.
The system takes a maintenance request, analyzes the issue, determines its priority and category, recommends a suitable vendor, and automatically creates a structured work order.
Workflow:
Tenant request → AI analysis → Priority & category → Vendor matching → Work order
Built with: Python, Flask, SQLite, HTML, CSS, JavaScript, and AI-assisted request classification.
This project was built as a portfolio demonstration of AI automation for property management operations.
I build scalable web applications, SaaS platforms, mobile apps, custom dashboards, and AI-powered automation systems that turn complex business workflows into reliable digital products.
My core stack includes Next.js, React, Node.js, NestJS, Python, PostgreSQL, MongoDB, and AI APIs.
I specialize in turning ideas into production-ready systems—from architecture and development to deployment, automation, and optimization.
Available for:
AI Automation • SaaS Development • Web Development • Mobile Apps • Custom Dashboards • API Development • Business Automation
34 tested API endpoints that AI agents can discover and pay for per request in USDC, with no accounts or API keys. It includes a paid MCP server, marketplace listings generated from real outputs, SSRF-safe fetching, and 19 Apify Actors that offer bulk versions of the endpoints.