Full Stack Engineer

Open to full-time
Bio

Muhammad S A is a Full Stack Engineer with several years of experience in building scalable, high-performance web applications. He specializes in JavaScript and TypeScript, utilizing frameworks such as React.js, Next.js, and Vue.js on the frontend, and Node.js, Express.js, and FastAPI on the backend. Muhammad builds RESTful APIs, real-time systems with WebSockets, and implements role-based access control. His database expertise includes MySQL, MongoDB, PostgreSQL, and Snowflake, and he employs ORMs like Sequelize and SQLAlchemy for data handling. His workflow is enhanced by tools like Git, GitHub Actions, and Docker, supporting efficient CI/CD and deployment practices. At Codeaza Technologies, Muhammad optimized query performance on a legacy system, reducing response times by 90% for 520K+ records. He also developed a review analytics platform processing over 80 million reviews, enabling brands to gain actionable insights. His work on the Cashpoints platform involved processing over 900K transactional records to provide deep insights for decision-making. Muhammad holds a Bachelor of Science in Computer Science from FAST NUCES. He is well-suited for roles involving complex web applications, data-driven platforms, and AI-driven features, with a focus on maintainability and scalable architecture.

Expertise
Vue.jsNode.jsMongoDBGitJavaScriptSQLSnowflakeNext.jsPythonReactTypeScriptFast API
Video Intro
Assessments
APPLICANT AVG · 57%SHOAIB · 94%0255075100TopASSESSMENT SCORE (0–100)
  • Implement LRU Cache AlgorithmMedium
  • Real-Time Dashboard in ReactEasy
Projects

Cashpoints

Analytics Platform for Cashpoints (a customer referral program) that processes over 900K transactional records. The platform provides deep insights into transaction data, enabling the Cashpoints team to make better, data driven decisions for improving and optimizing the program. Built using ReactJs, FastAPI, Snowflake (for data fetching) and apache Echarts.

Vochub

Reviews Analytics Platform that processes over 8 million Google reviews across the New Zealand and Australian markets. The platform provides sentiment analysis, competitor benchmarking, and actionable insights for brands, enabling them to understand customer feedback, identify opportunities, and improve their business strategies. Currently, 40+ brands are using the platform to make data driven decisions.

Landing Page for Blockchain Secruity Agency

A retro-cyberpunk themed landing page built for a blockchain security agency using Next.js and TypeScript. Features GSAP-powered scroll animations, glitch effects, neon styling, and a terminal display UI. Fully responsive with sections covering an audit process timeline, client testimonials, and team info. Deployed on Vercel with SSG/SSR for performance and SEO.

Experience
  1. Full Stack Engineer

    Codeaza Technologies· OtherJun 2025Present
    • Worked as solo engineer on 8-year-old legacy retail management system
    • Designed automated credit/returns filing workflows and built consolidated media download functionality
    • Resolved critical bugs and performance issues through ticket-based workflow
    • Optimized queries on 520K+ records, reducing response times by 90% (10–15s to 2–3s) via caching, parallel execution, and async processing.
    • Implemented custom RBAC and intuitive visualizations.
    • Developed frontend for review analytics platform with 80M+ business reviews across Australia/New Zealand.
    • Built advanced visualizations, geospatial maps, and trend analysis using Apache ECharts.
    Node.jsVue.jsMongoDBNextJsReactJsMCP ServersLLMsShadCnTailwindCSSPythonFastAPIJavaScriptTypeScriptGitGithubDockerSockets
  2. Associate Software Engineer

    R Technologies· OtherJul 2024Apr 2025
    • Built scalable AI voice agent management platform
    • Integrated Bland.ai APIs for automated voice calling with transcript processing and analytics
    • Developed backend services for reservations, events, subscriptions, and payments.
    • Implemented real-time chat, notifications, and live updates using Socket.io
    • Built semantic job-to-resume matching system leveraging AI-based text similarity.
    • Developed full-stack features with Node.js, MySQL, and role-based access control in Next.js
    • Developed multi-role education platform supporting students, teachers, and administrators.
    • Implemented auto-graded exams and performance analysis to identify weak learning areas.
    Next.jsNode.jsExpress.jsMySQLPythonJavaScriptTypeScriptTanStack QueryGitGithubDockerSockets
  3. Full Stack Intern (MERN)

    Sectem Technologies· OtherMar 2024Jun 2024
    • Refactored MERN stack applications to improve performance, scalability, and code maintainability
    • Built reusable React component libraries for internal development teams
    MERN stackJavaScriptPuppeteerJsReactJsExpressJsMongoDBNodeJsSystem Design
Education
  1. Bachelor of Science in Computer Science

    FAST NUCESIslamabad, Pakistan2020 — 2024
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