AI Powered Discord App's for eCommerce Growth

I build proprietary Discord applications in JavaScript, engineered to automate user verification, onboarding, and AI-powered community management across multiple brand servers simultaneously. Each bot authenticates new users through brand-specific conversation flows, then securely logs all data into a structured master database with dedicated tabs per brand — giving every client a clean, organized view of their creator and customer base.

At the core of the system is an integrated Claude AI engine, powered by Anthropic's large language model API. This gives the bot a living conversational intelligence — capable of handling real creator questions, routing support requests, detecting frustrated users and responding within seconds, and maintaining a brand-specific personality across every server it operates in. The AI layer means no creator message goes unanswered, even when the human team is offline.

Beyond verification, the system serves as a live data collection and analysis engine. Every AI conversation is logged in real time, giving teams searchable, actionable data on what their communities are asking, where friction exists, and how to optimize campaign performance. These insights directly inform decisions that drive brand GMV growth.

To ensure reliability and scale, the applications are deployed on Google Cloud Compute Engine virtual machines, running 24 hours a day with no downtime. Combined with deep Google Sheets API integration and the Anthropic Claude API, the result is a seamless, automated pipeline that removes manual work, strengthens data accuracy, and gives brands real-time intelligence on their communities.

The end product is a full-stack AI-powered automation platform that improves onboarding efficiency, scales community management without scaling headcount, and delivers measurable revenue impact across multiple eCommerce brands.

Real Time TikTok Shop Analytics Dashboard

I designed and built a full-stack analytics dashboard to aggregate, normalize, and visualize creator and revenue data across multiple internal systems. The frontend is a custom HTML/CSS/JavaScript interface using Chart.js for real-time visualizations, advanced filtering, pagination, and cohort analysis.

The backend is a Node.js service that securely authenticates with Google APIs via a service account, pulls structured data from multiple Google Sheets sources, processes GMV and creator metadata, and exposes a unified JSON API consumed by the dashboard. The system supports multi-source ingestion, dynamic segmentation, and exportable datasets, enabling operational and revenue-driven decision making at scale.