Product Portfolio 2025-2026

From Concept to Enterprise
Building Production AI Products

A showcase of 7 working prototypes—evolving novel ideas into functional applications through creative engineering.

Total Output
121k+
Lines of Code Written

Full-stack implementations demonstrating clean architecture, performance optimization, and modern best practices.

5
Functional Demos
Full Stack
Next.js • Tailwind • AI
100%
Type Safe

The Portfolio Journey

A curated tour through product innovation

1

The Hook

I take novel ideas and transform them into working prototypes through creative problem-solving and deep industry knowledge. Each application demonstrates real AI integration, live data persistence, and functional workflows—not hardcoded demos.

121K+
Lines of Code
7 Apps
Working Prototypes
Real AI
Live LLM Integration
2

The Flagship Project

EasyComm

Enterprise Multi-Channel Communication Platform

Working prototype demonstrating AI-powered document processing with dual-mode architecture and 4-LLM synthesis. Built to validate solutions for print/mail service provider onboarding challenges.

43,707
Lines of Code
20+ Features
Major Capabilities
3

The Innovation

Experimental • Novel Concept

ProductIntel-Agents

Multi-Agent Orchestration System

While EasyComm showcases production-grade sophistication, ProductIntel-Agents explores cutting-edge AI architecture: domain-specialized AI agent teams with industry expertise.

Instead of one generic AI, you get a FinTech compliance expert, a Healthcare specialist, and an E-commerce optimizer—all working together.

4

The Breadth

That's just one project. Here are 2 more sophisticated systems demonstrating different capabilities:

5

What This Demonstrates

Product Thinking

  • • Identified real user pain points
  • • Designed solutions, not just features
  • • Made conscious trade-off decisions
  • • Measured impact with metrics

Technical Execution

  • • Multi-LLM architecture & RAG systems
  • • Production-grade full-stack apps
  • • Real-time systems & WebSockets
  • • Type-safe, well-architected code
Coming Soon: Phase 2

Chat with this Codebase

Static portfolios are 2024. I'm currently building an interactive RAG agent that lives on this site. Soon, you'll be able to ask questions like "How is the project data structured?" or "Explain the theme toggle implementation"and get answers cited directly from the repo's source code.

Vercel AI SDKOpenAIVector Search
user:Explain the architecture...
agent:Scanning /lib/projects.ts...

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