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Sulman MusarratSM
Open to opportunities

Sulman Musarrat

@sulmanmusarrat

Full-stack JavaScript/Typescript developer specialized in MERN, Next.js, and performance optimization.

Pakistan
Message

What I'm looking for

I seek impactful full-stack roles where I can improve performance, build scalable systems, and work in agile teams with clear growth and production responsibilities.

I am a Full-Stack JavaScript developer with 3+ years of hands-on experience building scalable MERN and Next.js applications, crafting responsive UIs, and developing efficient REST APIs. I focus on performance optimization, clean architecture, SEO best practices and have delivered production-ready solutions that reduced load times by up to 40% and improved mobile conversions by 65%.

I have experience across WordPress/WooCommerce, dashboard development, cloud deployment, CI/CD and automated workflows, having delivered 10+ apps and multiple client projects. I work with TypeScript, Node.js, React, and modern deployment tools to reliably support high-concurrency usage while streamlining development processes and accelerating delivery timelines.

Experience

Work history, roles, and key accomplishments

VS

Software Engineering Intern

Volpea Solutions

Jun 2024 - Dec 2024 (6 months)

Built 3+ responsive cross-platform apps using React, Next.js, Node.js and Express, improving user interaction and retention by 25% and increasing team delivery efficiency by 15% through Git and Agile practice improvements.

Education

Degrees, certifications, and relevant coursework

FC

Foundation University, Rawalpindi Campus

Bachelor's Degree, Software Engineering

2021 -

Activities and societies: Final Year Project: Smart Fitness Agent – AI-powered fitness assistant; relevant coursework in web engineering, data science, software design, databases, and HCI.

Pursuing a Bachelor’s Degree in Software Engineering with coursework in Web Engineering, Data Science, Software Design & Architecture, Database Systems, and Human-Computer Interaction; final year project: Smart Fitness Agent using computer vision and machine learning.

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