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Case Study

Interactive RAG Portfolio Agent

A zero-cost, streaming RAG AI agent integrated directly into production to represent professional experience, demonstrate architectural depth, and capture qualified inbound leads.

Overview

Engineered with Next.js 16 (App Router, Turbopack) using a zero-cost architecture on Google Gemini Flash with real-time SSE streaming via ReadableStream. Features strict prompt grounding over professional milestones, sliding-window rate limiting, and an in-chat lead capture pipeline connected directly to Resend.

Key Highlights

  • Zero-cost production architecture delivering sub-second streaming responses without cloud billing overhead.
  • Knowledge-grounded system architecture trained on 8+ years of enterprise Azure and AI delivery.
  • Built-in defensive rate-limiting and session guardrails to protect free quota against automated scraping.
  • Integrated in-chat lead capture piping recruiter inquiries directly to personal inbox via Resend.

Technology

Next.jsTypeScriptGoogle GeminiRAGTailwind CSSResendVercel
Source CodeLive Demo

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