Full-stack software engineer focused on building scalable web applications and AI-driven solutions. Strong experience across .NET, C#, JavaScript, Python, C++, and modern full-stack development. Experienced in building and maintaining products using Next.js/React and backend frameworks like Node.js, Django, and .NET, with applied ML/deep learning using PyTorch. Passionate about clean code, modern frameworks, and intelligent system design for real-world problems.…

Zarak Khan

Full-stack software engineer focused on building scalable web applications and AI-driven solutions. Strong experience across .NET, C#, JavaScript, Python, C++, and modern full-stack development. Experienced in building and maintaining products using Next.js/React and backend frameworks like Node.js, Django, and .NET, with applied ML/deep learning using PyTorch. Passionate about clean code, modern frameworks, and intelligent system design for real-world problems.…

Available to hire

Full-stack software engineer focused on building scalable web applications and AI-driven solutions. Strong experience across .NET, C#, JavaScript, Python, C++, and modern full-stack development.

Experienced in building and maintaining products using Next.js/React and backend frameworks like Node.js, Django, and .NET, with applied ML/deep learning using PyTorch. Passionate about clean code, modern frameworks, and intelligent system design for real-world problems.

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Skills

Experience Level

Python
Expert
React Native
Expert
SQL
Expert
API
Expert
Django
Expert
PostgreSQL
Expert
PyTorch
Expert
Node.js
Expert
UI
Expert
C#
Intermediate
C++
Intermediate
Prompt Engineering
Intermediate
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Work Experience

Junior Associate Software Engineer at OM Solutionz Pvt Ltd
November 1, 2024 - March 20, 2025
Developed and maintained a core product for a React Native mobile application. Contributed to both front-end and back-end development using Next.js, TypeORM, and PostgreSQL. Delivered tasks and feature tickets on time with emphasis on code quality and product stability. Resolved UI/UX issues and improved performance by iterating on implementation details and integration behavior.
Full Stack Developer at WEAMEL NAGGAR
April 1, 2024 - Present
Built a MERN stack CRM with module features such as expense tracking, surveys, and log management. Handled end-to-end front-end and back-end development, fixing UI/UX issues and improving overall performance. Created a responsive landing page and integrated Facebook Pixel for ad tracking.

Education

Bachelor of Science in Software Engineering at The University of Faisalabad
October 1, 2020 - December 1, 2024

Qualifications

Node.js & C++ Bootcamps (AWS + Devtown)
January 11, 2030 - July 29, 2026
Microsoft Learn Certifications (Linux Fundamentals, Data Science)
January 11, 2030 - July 29, 2026

Industry Experience

Software & Internet, Computers & Electronics, Education, Media & Entertainment, Financial Services
    MERN CRM System with Dashboard & Analytics

    Developed a full-featured CRM system for managing business operations using the MERN stack. The client required a centralized platform to handle expenses, surveys, and activity logs efficiently.

    I designed and implemented a responsive dashboard with intuitive navigation and real-time data visualization. Built secure REST APIs and optimized database queries for better performance and scalability.

    One of the key challenges was ensuring smooth user experience while handling complex data flows. I improved UI/UX and reduced load times through performance optimization techniques.

    The final product streamlined internal processes, improved data tracking, and provided actionable insights for decision-making.

    MERN CRM System with Dashboard & Analytics

    Developed a full-featured CRM system for managing business operations using the MERN stack. The client required a centralized platform to handle expenses, surveys, and activity logs efficiently.

    I designed and implemented a responsive dashboard with intuitive navigation and real-time data visualization. Built secure REST APIs and optimized database queries for better performance and scalability.

    One of the key challenges was ensuring smooth user experience while handling complex data flows. I improved UI/UX and reduced load times through performance optimization techniques.

    The final product streamlined internal processes, improved data tracking, and provided actionable insights for decision-making.

    AI Legal Assistant for Case Analysis & Prediction

    Developed an AI-powered legal assistant to automate legal research and case analysis. The objective was to help users summarize legal documents, predict case outcomes, and extract structured insights.

    Built the frontend using Next.js and backend with Django, integrating machine learning models using PyTorch. Designed a user-friendly interface for interacting with complex legal data.

    One of the main challenges was integrating AI models with a scalable web system, which was solved through efficient API design and optimized data handling.

    The system improved research efficiency and simplified access to legal insights for users.