Challenge
Consolidating customer support chat logs, task management, issue tracking, and daily reporting into a single, cohesive operational platform.
Full Stack · Office · Internal · AI
The Internal Support System is an AI-powered operations platform designed for multi-brand, multi-region support teams. It features a complete Chat Logging module, a Kanban Task Tracker with Google Chat integrations, an Issue Tracker for bugs, and an automated End-of-Day (EOD) reporting engine. Powered by Google Gemini, the platform generates intelligent operational summaries and provides actionable insights through interactive Recharts dashboards. Engineered with Next.js 16, PostgreSQL, and Prisma, it ensures robust role-based access control and comprehensive audit logging.

Overview1 / 2
Consolidating customer support chat logs, task management, issue tracking, and daily reporting into a single, cohesive operational platform.
Developed a Next.js 16 platform featuring rich text EOD reporting, Gemini AI for operational summaries, and real-time Google Chat notifications for seamless team communication.
Streamlined support workflows, enhanced team productivity, and provided stakeholders with automated, AI-driven performance insights.
01 / Frontend Layer
Engineered with modern React/Next.js component architectures, strict TypeScript interfaces, responsive layouts, and optimized Core Web Vitals.
02 / Backend & APIs
Decoupled RESTful APIs, real-time WebSocket state synchronization, centralized error logging, and resilient microservices.
03 / Data & Security
Normalized relational database schemas (PostgreSQL/MySQL), Redis caching, RBAC permissions, and secure JWT authentication.
04 / Measurable Impact
Turnkey delivery, sub-200ms latency, high availability, and maintainable documentation for seamless long-term scaling.
01 / AI Security
Architected a local-first security firewall and real-time activity monitor for autonomous AI agents and MCP tools, enforcing deterministic policy gating, capability sandboxing, and real-time execution telemetry.
02 / Full Stack
Architected a multi-tenant issue and bug management platform with eight role-based dashboards, JWT auth with rotating refresh tokens, real-time WebSocket notifications, and a partner API for external integrations.
03 / AI
Built an integrated AI marketing platform combining a dynamic context chat agent (`aiagent`) with a full-featured Marketing Operating System SaaS (`marketingtool`) featuring multi-LLM routing, generative UI, Cloudinary asset pipelines, landing page builders, and automated lead capture.