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 projectsFull-Stack SaaS

RecoverPay.cloud•Full-Stack & AI Engineer•2024

RecoverPay — WhatsApp Lead Recovery & Conversational CRM SaaS

Automated WhatsApp re-engagement platform reclaiming abandoned carts and stalled leads through AI-driven conversational checkout workflows.

Visit Live Platform Discuss Similar Architecture

38%

Abandoned Cart Recovery

Recaptured lost e-commerce checkouts through conversational incentives

45,000+

Automated Follow-ups

Triggered instantly upon checkout exit without human intervention

4.2x

Client ROI

Direct revenue lift within the first 30 days of client store integration

RecoverPay — WhatsApp Lead Recovery & Conversational CRM SaaS

Overview

Project Architecture & Objectives

Key Capabilities Delivered

Built responsive SaaS dashboard with live chat feeds, recovery analytics, and campaign triggers

Engineered high-throughput webhook receiver processing thousands of store checkout events per hour

Integrated OpenAI GPT-4o with conversational sales playbooks to overcome checkout hesitations

Implemented real-time bi-directional messaging UI using Socket.IO for human takeover when required

Deep Dive

Engineering Challenges & Solutions

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

Handling Strict WhatsApp Rate Limits and Webhook Spikes

The Challenge:

High-volume flash sales caused massive webhook bursts that threatened WhatsApp API rate-limit throttling.

Architectural Solution:

Implemented Redis BullMQ queues with adaptive rate limiting and exponential backoff retry policies.

Tangible Result: 100% reliable message delivery with zero API bans or dropped events during high-traffic events.

Interface Showcase

Visual Systems & User Experience

RecoverPay — WhatsApp Lead Recovery & Conversational CRM SaaS screenshot 1

RecoverPay — WhatsApp Lead Recovery & Conversational CRM SaaS screenshot 2

Technologies & Infrastructure

Next.jsNode.jsSocket.IOMongoDBWhatsApp Cloud APIOpenAIRedisDocker

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