Riyadh, Saudi Arabia

Available for select projects & roles

Asjad Farooq

Full-Stack Engineer · .NET & MERN · Next.js, React, Node.js

Experienced full‑stack engineer crafting performant, production-grade experiences for startups and enterprises. I specialise in both .NET and MERN stacks—designing clean architectures, refined interfaces, and reliable systems that scale with the product.

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Professional Journey

Rakeez Solutions

Dec 2025 – Present · 4 mos

Senior Software Engineer · Riyadh, Saudi Arabia · On-site

Driving AI and generative AI for HR and product. Software infrastructure and design at scale.

Seha Invest

Dec 2024 – Nov 2025 · 1 yr

Senior Software Engineer · Riyadh, Saudi Arabia · On-site

Owned software infrastructure and system design. Scalable, production-grade systems and cross-functional delivery.

CanDev Software Agency

Oct 2023 – Sep 2024 · 1 yr

Full Stack Developer · Gujrat District, Punjab, Pakistan · Hybrid

Led full-stack and cross-platform delivery from design to production. APIs, data layer, CI/CD, and cloud deployments.

GulzarSoft

Oct 2022 – Sep 2023 · 1 yr

Full-Stack Developer · Gujrat District, Punjab, Pakistan · On-site

Led cloud-based streaming product end-to-end. APIs, media pipelines, payments, and live production deployments.

PureLogics

Mar 2022 – Aug 2022 · 6 mos

Frontend Developer · Lahore, Punjab, Pakistan · On-site

Built responsive UIs, payments, and API integration. Agile delivery for enterprise and customer-facing applications.

Cyber Silo

Feb 2021 – Jan 2022 · 1 yr

Frontend Developer · Lahore, Punjab, Pakistan · On-site

Developed dynamic, responsive web and mobile applications with component-based architecture. REST APIs, auth, and production-ready delivery.

Tech Arsenal

Frontend

JavaScript

TypeScript

React

Next.js

Tailwind

SCSS

Framer

Redux

Backend

Node.js

Express

.NET

ASP

ASP.NET Core

EF Core

LINQ

GraphQL

Database & APIs

PostgreSQL

MongoDB

Supabase

Redis

Prisma

SQL Server

Sanity

AI & LLMs

Hugging Face

Groq

Gemini

GPT

OpenAI

RAG

LLM

DevOps & Tools

Docker

Kubernetes

Vercel

Git

Postman

Cloudflare

Jest

Design & Docs

Figma

Swagger

Storybook

Featured Projects

Doc Intelligence

Production-ready RAG system for querying PDFs and documents with cited answers. Built with ASP.NET Core, Next.js, EF Core, and Supabase (PostgreSQL + pgvector), using Hugging Face for embeddings and Groq for fast, reliable responses.

Live Demo GitHub