I'm Abdul Moiz, a senior software engineer specializing in full-stack development and applied AI. I design and ship RAG pipelines, generative AI systems, and multi-modal retrieval, delivering LLM-powered products into HIPAA- and GDPR-aware production environments where reliability and data handling matter. I've scaled consumer systems to 1M+ users and led end-to-end architecture across frontend, backend, and data layers. My experience spans from building scalable MERN stacks to AI-powered platforms, with a focus on performance, scalability, and robust data governance.…

Abdul Moiz

PRO

I'm Abdul Moiz, a senior software engineer specializing in full-stack development and applied AI. I design and ship RAG pipelines, generative AI systems, and multi-modal retrieval, delivering LLM-powered products into HIPAA- and GDPR-aware production environments where reliability and data handling matter. I've scaled consumer systems to 1M+ users and led end-to-end architecture across frontend, backend, and data layers. My experience spans from building scalable MERN stacks to AI-powered platforms, with a focus on performance, scalability, and robust data governance.…

Available to hire

I’m Abdul Moiz, a senior software engineer specializing in full-stack development and applied AI. I design and ship RAG pipelines, generative AI systems, and multi-modal retrieval, delivering LLM-powered products into HIPAA- and GDPR-aware production environments where reliability and data handling matter.

I’ve scaled consumer systems to 1M+ users and led end-to-end architecture across frontend, backend, and data layers. My experience spans from building scalable MERN stacks to AI-powered platforms, with a focus on performance, scalability, and robust data governance.

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Skills

Experience Level

Python
Expert
JavaScript
Expert
TypeScript
Expert
React JS
Expert
Node.js
Expert
Express
Expert
MongoDB
Expert
Vue.js
Expert
AWS
Expert
PostgreSQL
Expert
Docker
Expert
MySQL
Expert
GraphQL
Expert
Kubernetes
Expert
HTML5
Expert
Google Cloud
Expert
Tailwind
Expert
CSS
Expert
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Language

English
Fluent
Urdu
Fluent

Work Experience

Technical Lead at Blockrhythms
November 1, 2025 - Present
Leading architecture and end-to-end delivery of a Airbnb-style real estate marketplace spanning residential and commercial verticals (browse, buy, sell, rent). Designed and shipped an map-based geospatial search engine with custom pin-drop and radius filtering, materially improving property discovery and search relevance. Architected an age ntic RAG system on Lang Graph and eight natural-language property queries into multi-step retrieval and tool calls.
Senior Software Engineer at Trailfive Technologies
September 2, 2023 - November 2, 2025
End-to-end feature delivery across backend, frontend, and data layers for DJaminn, a music-artist collaboration platform serving 1M+ active users globally. Designed scalable GraphQL APIs and an event-driven architecture powering real-time collaboration feeds, reducing front-end/back-end coupling and accelerating feature delivery.
MERN Stack Developer at Crescent Technologies
July 1, 2022 - February 1, 2023
Delivered full-stack features using MERN, owning development from API design to frontend delivery for Shopify-style e-commerce products. Built inventory and order-management workflows, authentication, and secure data handling for multi-tenant enterprise environments.
Software Engineer at Brackets Pvt. Ltd
September 1, 2020 - June 1, 2022
Migrated legacy CRM modules from jQuery to React.js, delivering a noticeably faster, smoother user experience and significantly improving maintainability and developer velocity. Built the Patient module end-to-end for a digital health platform onboarding 6,000+ patients; HIPAA-aware data handling for secure remote consultations. Shipped compliance-aware health-care workflows across cross-functional teams.

Education

B.Sc. Computer Science at COMSATS University, Lahore Campus
January 11, 2030 - January 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Media & Entertainment
    Djaminn — Global artist platform

    Led backend architecture and CRM development for Djaminn, a large-scale cloud-native media and artist collaboration platform supporting millions of users, real-time engagement, and AI-driven personalization.

    Joined when the platform had ~500K users and played a key role in scaling it to 2M+ users while maintaining performance and reliability.

    Key Contributions
    • Architected and scaled a Node.js, TypeScript, and Apollo GraphQL backend powering music/video uploads, artist communities, messaging, contests, and engagement features.
    • Optimized critical GraphQL APIs, reducing response times from 5–6 seconds to 1–2 seconds through query optimization, pagination, compound indexing, and performance-tuned SQL queries.
    • Implemented Elasticsearch to deliver faster, scalable search across large datasets.
    • Built AI-powered recommendation systems that analyzed user music preferences to create personalized content feeds.
    • Developed background schedulers and automation pipelines using Node.js and Python to improve operational efficiency and content workflows.
    • Collaborated with frontend, mobile, DevOps, and product teams to operate multi-region Kubernetes infrastructure on Google Cloud.

    Map-First Real Estate Marketplace — Architecture to Production

    Built a complete property marketplace from scratch: geospatial search, floating-pin discovery, landlord workflows, subscription-based access, and mobile-first UX shipped to production.

    Overview
    Led end-to-end technical delivery: architecture, backend APIs, geospatial search, interactive map, landlord and seeker workflows, subscription monetization, payment integration, and production deployment.

    What this product does
    A property seeker opens the app, drops a pin on any street, and properties appear around that point; filterable by price, category, and availability. They view verified listings, see landlord response rates, and request a callback without touching a broker. On the landlord side: publish a property, set a price, choose a plan. Contact reveals, tour scheduling, and payment access are handled by the platform.