Who is Shahzaib and what is his technical background?

Shahzaib is a Full-Stack & AI Engineer with 4+ years of hands-on production experience architecting SaaS platforms, autonomous multi-agent workflows, and scalable backends. He holds an MS in Artificial Intelligence (MSAI) and specializes in Next.js, FastAPI, Node.js, and custom Model Context Protocol (MCP) integrations.

What services does Shahzaib offer for startups and enterprises?

Shahzaib offers Full-Stack SaaS Development (Next.js, FastAPI, PostgreSQL, Stripe), Autonomous AI Agents & Swarms (LangGraph, CrewAI), Custom MCP Servers & n8n Workflows, GoHighLevel (GHL) Voice AI Receptionists, Private Local AI Infrastructure (Nous Hermes 3, Ollama, vLLM), Domain LLM Fine-Tuning (LoRA/QLoRA), and Technical SEO/AEO/GEO Audits.

Can Shahzaib deploy Hermes AI or private LLMs on local hardware?

Yes. Shahzaib designs air-gapped on-premises local AI infrastructure running Nous Hermes 3, Llama 3, and DeepSeek via Ollama, vLLM PagedAttention, and Docker Compose with OpenAI-compatible API reverse proxies to eliminate cloud data leaks and GPU API costs.

How does Shahzaib optimize websites for SEO, AEO, and GEO?

Shahzaib optimizes platforms across three search layers: Traditional SEO (95-100 Core Web Vitals on Lighthouse, clean SSR/SSG rendering), Answer Engine Optimization (AEO via rich Schema.org JSON-LD microdata for Google featured snippets and voice search), and Generative Engine Optimization (GEO via structured entities and llms.txt knowledge bases for ChatGPT Search and Perplexity citations).

Back to all projectsAutomation & GHL

Enterprise SaaS & E-Commerce Brands•SEO / Systems Architect•2024

Full-Stack Technical SEO, AEO, GEO & Performance Optimization Suite

Comprehensive audit and technical remediation system elevating search rankings across Google, Perplexity, ChatGPT Search, and Google AI Overviews.

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99/100

Core Web Vitals Score

Perfect scores across LCP, FID/INP, and CLS for client web applications

3.8x

AI Search Citation Lift

Structured entities indexed and cited inside ChatGPT Search & Perplexity summaries

+120%

Organic Search Traffic

Long-tail search volume growth achieved within 90 days of technical overhaul

Full-Stack Technical SEO, AEO, GEO & Performance Optimization Suite

Overview

Project Architecture & Objectives

Key Capabilities Delivered

Conducted in-depth Core Web Vitals audits eliminating render-blocking scripts, unoptimized fonts, and layout shifts

Implemented comprehensive Schema.org JSON-LD microdata (Organization, TechArticle, Product, FAQPage, BreadcrumbList)

Engineered Generative Engine Optimization (GEO) strategies ensuring brand citations appear inside Perplexity and ChatGPT Search answers

Configured automated Lighthouse CI pipelines inside GitHub Actions to prevent performance regressions in pull requests

Deep Dive

Engineering Challenges & Solutions

Critical architectural hurdles solved to deliver performance, security, and scale.

Client-Side Rendered SPAs Invisible to Search Bots

The Challenge:

Client applications rendered entirely via client-side React were failing to index dynamic content in search engines and AI crawlers.

Architectural Solution:

Migrated architecture to Next.js App Router with Server Components and static HTML pre-rendering with dynamic ISR.

Tangible Result: 100% crawl indexation across all 50,000+ programmatic pages within two weeks of launch.

Interface Showcase

Visual Systems & User Experience

Full-Stack Technical SEO, AEO, GEO & Performance Optimization Suite screenshot 1

Full-Stack Technical SEO, AEO, GEO & Performance Optimization Suite screenshot 2

Technologies & Infrastructure

Lighthouse CISchema.orgNext.jsPython CrawlersGoogle Search ConsoleScreaming FrogOpenGraph

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