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

Mudrsec & Madrasa.io•Full-Stack Developer•2023 - 2024

Mudrsec / Madrasa LMS — Scalable Arabic Educational Marketplace

Comprehensive educational marketplace and LMS serving over 5,000 active students with Arabic localization, live tutor booking, and course streaming.

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5,000+

Active Students

Enrolled across multiple certified online courses and tutor schedules

40%

Query Latency Reduction

Database indexing and Redis caching accelerated dashboard load times

99.9%

Uptime Reliability

Zero downtime during peak evening student study hours

Mudrsec / Madrasa LMS — Scalable Arabic Educational Marketplace

Overview

Project Architecture & Objectives

Key Capabilities Delivered

Developed high-traffic responsive course player and tutor scheduling interfaces with full RTL (Right-to-Left) Arabic support

Engineered secure authentication and role-based access control (Student, Tutor, Admin) using JWT and bcrypt

Optimized complex MongoDB aggregation pipelines for instructor revenue payouts and student performance analytics

Integrated cloud video storage and CDN streaming via AWS S3 and CloudFront with signed URL security

Deep Dive

Engineering Challenges & Solutions

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

RTL UI Consistency & Real-Time Booking Conflicts

The Challenge:

Managing timezone-aware tutor calendars while preventing double-bookings across hundreds of simultaneous students.

Architectural Solution:

Built transactional reservation locks in Redis with optimistic concurrency control and automated slot expiration timers.

Tangible Result: Completely eliminated double-booking collisions across all active instructors.

Interface Showcase

Visual Systems & User Experience

Mudrsec / Madrasa LMS — Scalable Arabic Educational Marketplace screenshot 1

Mudrsec / Madrasa LMS — Scalable Arabic Educational Marketplace screenshot 2

Mudrsec / Madrasa LMS — Scalable Arabic Educational Marketplace screenshot 3

Technologies & Infrastructure

React.jsNext.jsNode.jsExpress.jsMongoDBRedisAWS S3Tailwind CSSJWT

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