
Muhammad Saad
@muhammadsaad23
I build scalable Node.js backends, REST APIs, and AI-powered automation for SaaS and web products.
What I'm looking for
I've built scalable Node.js, Express.js, and MongoDB backends for SaaS, e-commerce, delivery, and AI-powered products. At Lead Softwares, I engineer secure RESTful APIs with JWT authentication and optimize MongoDB models for faster, more scalable operations.
I develop n8n automation workflows and AI-integrated agents that streamline business processes and data pipelines. I also deliver end-to-end MERN applications, connecting React frontends to reliable Node.js services.
My project work includes Barq E Shop, Tigerit Delivery, and CCTV-Intel, where I contributed backend APIs, third-party integrations, and AI-powered chat and computer vision capabilities. I bring hands-on experience across Node.js, Express.js, MongoDB, React, FastAPI, Docker, and AWS.
Experience
Work history, roles, and key accomplishments
Backend Developer | AI Developer
Lead Softwares
Nov 2025 - Present (11 months)
Engineered high-performance RESTful APIs with secure JWT authentication and optimized MongoDB data models. Developed n8n automation workflows and AI-integrated agents, and delivered end-to-end MERN stack solutions.
MERN Stack Developer
Freelance (Fiverr / Upwork / Guru)
Oct 2025 - Present (1 year)
Established and optimized freelance profiles on Fiverr, Upwork, and Guru. Architected and delivered full-stack web solutions, managing the entire project lifecycle from proposal to deployment.
Backend Developer Intern
Seven Solvers
Aug 2025 - Oct 2025 (2 months)
Developed and maintained scalable RESTful APIs using Node.js, Express.js, and MongoDB. Integrated third-party APIs and external services into backend workflows.
Education
Degrees, certifications, and relevant coursework
University of Sargodha
Associate Degree, Computer Science
Grade: 3.67/4.00
Pursuing an Associate Degree in Computer Science with a current CGPA of 3.67/4.00. Focus areas include Software Development, Data Structures, and System Architecture.
Govt. High School Makhdoom Rasheed
Matriculation, Computer Science
2022 - 2024
Grade: 85.8%
Completed Matric in Computer Science with a result of 944/1100 (85.8%). Core subjects included Computer Science, Mathematics, and Physics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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