Masab Bin Zia

๐Ÿ“ Karachi, Pakistan

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Masab Bin Zia

Lead Full-stack engineer with a product mindset, building scalable web & mobile systems for real-world impact.

TweakXInspect
TweakXInspect
2026
Real-Time Traffic Intelligence Engine
Real-Time Traffic Intelligence Engine
2026
AI Systems & Automation Suite
AI Systems & Automation Suite
2025

Work

ZX
Full Stack Team LeadZenexgen โ€” Karachi (Onsite)
July 2025 โ€“ Present
BX
Full Stack EngineerBitXcels โ€” Remote
Feb 2024 โ€“ Feb 2025
CV
Frontend EngineerChainVerse โ€” Remote
Sep 2023 โ€“ Sep 2024
FL
Freelance Full-Stack DeveloperIndependent
2021 โ€“ 2023

Technical Expertise

Frontend

React
Next.js
Gatsby
Astro.js
Svelte
TypeScript
JavaScript
Tailwind CSS
SCSS
Material UI

Backend & APIs

Node.js
Express
NestJS
FastAPI
GraphQL
REST APIs

Database

Prisma
MongoDB
PostgreSQL
Supabase
Firestore
FaunaDB

Mobile

React Native
Expo

Cloud & DevOps

AWS
Vercel
Netlify
Docker
Firebase

AI & Emerging Tech

OpenAI
Gemini
Claude AI
LangChain
Web3

Headless CMS

Contentful
Strapi
Sanity
Prismic
Shopify

Architecture

Microservices
System Design
Turborepo

Beyond Code

Cross-Functional Collaboration
Cross-Functional Collaboration
Communication
Communication
Team Leadership
Team Leadership
Problem Solving
Problem Solving
Product Mindset
Product Mindset
System Architecture
System Architecture

How frequently I code

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Education

BS - Computer, Information Sciences & Support Services

BS - Computer, Information Sciences & Support Services

KIET - Karachi Institute of Economics and Technology

2021 โ€“ 2025

How We Integrated AI Into an Existing SaaS Platform Without Rewriting the Entire System

Most AI projects begin from scratch. Mine didn't. I joined an existing production SaaS to design and integrate an AI infrastructure that could support intelligent assistants, Copilot-style workflows, and future AI capabilities without disrupting the application's existing architecture. This wasn't about calling an LLM API. It required designing a scalable AI layer with model routing, context engineering, memory management, usage limits, caching, security, and observability. This article shares the engineering decisions, trade-offs, and lessons I learned while bringing production AI into an already mature software platform.

12-15 min read July 28, 2026 AI LLMs

Building AI Products with a Product Mindset

Why most AI demos fail to become products, and the mental shift required to build something people actually use every day.

5 min read Dec 20, 2024 AI Product

Certifications

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