Full Stack Engineer

Open to full-time

Bio

Muhammad S. is a full stack software engineer with about two years of experience delivering MERN stack applications. He utilizes technologies such as React, Next.js, Node.js, Express.js, MongoDB, and PostgreSQL to build robust web applications, APIs, and dynamic dashboards. His work is characterized by a focus on secure authentication, CI/CD pipelines, and performance optimization, including caching and SEO techniques. At NESL IT, Muhammad led the development of a medical exam prep app, optimizing PostgreSQL queries to improve performance by 35%. He also created an AI-powered expense management portal that reduced manual review time by nearly 50%. At Ladejavu, he developed a Telegram Mini App that increased user engagement by 25%. Muhammad holds a Bachelor of Science in Computer Science from COMSATS University Islamabad. He is well-suited for roles that demand strong full stack development skills and a focus on performance and security in modern web platforms.

Expertise

MongoDBNode.jsReactNext.jsGitCSSHTMLAWSJavaScriptTypeScriptDocument DatabaseSQLRelational Database

Video Intro

Assessments

General Project Assessment

(88/100)

Find the Length of the Longest Substring Without Repeating Characters, Difficulty: EasyMedium
Implement LRU Cache Algorithm, Difficulty: MediumMedium
Discuss the Advantages of Context API vs. Redux in React, Difficulty: MediumMedium
Real-Time Dashboard in React, Difficulty: MediumMedium

Projects

SmartExpense

SmartBase is an intelligent expense management system designed to help users track, analyze, and manage their financial activity with ease. The platform automatically detects unusual spending, and generates clear insights using AI. It provides real-time dashboards and personalized recommendations to help users improve budgeting and financial planning. Built with a modern full-stack architecture, SmartBase delivers fast data processing, clean UI, and seamless syncing across devices.

Radiology Expertly

Radiology Expertly is a specialized exam preparation platform designed for candidates of the RANZR 2 radiology exam. It features dynamic question banks, category-based learning paths, and performance tracking to help students master complex radiology concepts. The app supports structured practice sessions, randomized exam simulations, and detailed explanations to enhance retention and accuracy. With an optimized backend for fast question retrieval and a responsive UI, Radiology Expertly delivers an efficient and focused study experience for aspiring radiologists.

Experience

Software Engineer
NESL ITDec 2024 — Present
- Led and delivered multiple MERN Stack projects using Agile (Scrum) practices, coordinating with cross-functional teams and improving feature delivery speed by 20%.
- Developed a medical exam prep app with dynamic question handling, category linkage, and PostgreSQL optimization, improving query performance by 35% and reducing load time on key screens.
- Created an AI-powered expense management portal using React.js, Tailwind CSS, and Gemini for automated analysis, enabling users to cut manual review time by nearly 50%.
- Implemented authentication, RBAC, and encryption in Node.js applications, applying OWASP Top 10 principles, CSRF protection, and input validation, which reduced security vulnerabilities during QA.
- Designed a MERN stack document formatting system with Node.js/Express REST APIs, MongoDB data modeling, and a responsive React frontend, improving document processing performance by 30% using Redis caching and AWS S3.
- Developed responsive Next.js landing and marketing pages with SEO optimization and Google Analytics integration, increasing organic engagement by 18%.
- Spearheaded CI/CD pipeline implementation using GitLab, reducing deployment cycles by 40% and ensuring consistent, reliable application updates across environments.
ReactNode.jsExpress.jsMongoDBPostgreSQLAWS S3RedisNext.jsGitGitHubTailwind CSS
Software Developer
LadejavuDec 2023 — Dec 2024
- Built and maintained SaaS full-stack apps using the MERN stack, improving feature delivery and app stability.
- Developed a Telegram Mini App with 15+ full-stack features, increasing user engagement by 25%
- Created responsive UI components in React and Tailwind, improving load time and UX across mobile and web.
- Built optimized REST APIs using Node.js, Express, and MongoDB, enabling smooth and scalable data exchange.
ReactNode.jsExpress.jsMongoDBTailwind CSS