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I'm Kashif Ahmed A

About Me:

    Hi, I am Kashif Ahmed

    a Full-Stack Developer and tech enthusiast who specializes in turning ideas into scalable, secure, and production-ready digital products. I work across the stack to build applications that are not only functional, but reliable, performant, and designed with real users in mind


    I’ve delivered projects ranging from a deep-learning–powered voting system using iris recognition to Zocosto, a complete multi-vendor eCommerce platform built with React, Node.js, Express, MongoDB, and deployed using NGINX. My experience includes cloud-based deployments, secure authentication systems, and RESTful API design, ensuring applications are fast, stable, and ready to scale.


    I combine a strong foundation in data structures and algorithms (Java) with machine learning development in Python to solve complex problems efficiently. I value clean architecture, thoughtful design, and practical execution.

Skills :

Education :

Bachelor's of Technology

Computer Science & Engineering

Tier 3 College
CGPA : 7.59/10

PROJECTS:

Web:

Zocosto - multi-vendor Ecommerce website

Technologies Used : React, Nodejs, ExpressJs, MongoDB, TailwindCSS
  • Built a full-stack multi-vendor eCommerce website with dynamic product listings, vendor onboarding, and user ordering features
  • Integrated OTP-based authentication using Nodemailer and implemented admin dashboard for vendor approval based on GST and Store Information
  • Designed a responsive front-end using React and Tailwind CSS, ensuring seamless UX across devices
  • Deployed on a VPS using Nginx as a reverse proxy, enabling secure, scalable hosting with custom domain integration

    • Blogging App

    Technologies Used : Nodejs, ExpressJs, MongoDB, BootStrap
  • Developed a blogging platform enabling post creation, viewing, and commenting, boosting user engagement
  • Secured accounts using SHA-256 hashing, protecting user data and enhancing authentication reliability
  • Optimized backend efficiency with async functions and reusable templates, improving scalability by 60%

    • A URL Shortener with IP Tracking

    Technologies Used : Nodejs, ExpressJs, MongoDB
  • Custom URL Generation: Uses a unique short ID for easy link sharing
  • IP Address Tracking: Integrates IP-based tracking to associate shortened links with user and stored securely in the MongoDB database
  • Optimized for Performance: Developed with efficient asynchronous operations to ensure fast responses, even under high traffic

    • Attendance Management System

    Technologies Used : HTML,CSS, PHP, JavaScript
  • Architected and developed a website using HTML, CSS, and JavaScript to record and track user attendance
  • Deployed PHP on the backend to manage data storage and retrieval from a MySQL database, dynamically displaying total attendance for the academic year
  • Successfully rolled out the system to 50% of the class, significantly enhancing attendance tracking efficiency

    • Apps:

    Developing

    Forked Mind - Chess App

    Technologies Used : Flutter
  • Role : Frontend Developer
  • Chess App with unique Approach
  • Stay tuned :)
  • Coming Soon
    • Debugging

    Paynounce - Voice UPI alerts

    Technologies Used : Flutter
  • Implements real-time detection and display of incoming transaction amounts
  • Designed with a zero data-collection architecture, ensuring complete user privacy
  • Ad-free application with no third-party tracking or analytics SDKs
  • Optimized background processing and resource usage, maintaining low power consumption (~150 mAh/day)
  • Test App ↗
    • Under Development

    Prodomo Timer

    Technologies Used : Kotlin
  • Tracks productive time using an integrated activity timer
  • Visualizes weekly productivity distribution through an interactive pie chart
  • Includes a built-in to-do list for task planning and progress tracking
  • Test App ↗

    • Software:

    Modern Iris Recognition Voting System Using Deep Learning

    Language Used : Python
  • Engineered a system as a final semester project in collaboration with 4 team members
  • Harnessed a CNN model to authenticate users by their irises and enable verified users to vote,achieving using preprocessed iris images for training and validation
  • Contributed to the systems codebase and led iris data collection as a team member
  • Leveraged Python libraries such as Keras, OpenCV, TensorFlow, and Scikit-learn in the development process

    • FREELANCE:

    Freelance Contributions:

    Hey Welcome

    Certificates:

    NPTEL

    Cloud Computing

    Swayam Portal
  • Gained knowledge of IaaS, PaaS, and SaaS service models, including service level agreements
    • Acquired skills in large-scale data processing, data security, and storage solutions.

      • Infosys SpringBoard

      Amazon Web Services Certification 2022

    • Mastered data storage using S3, DynamoDB
      • Learned about Java APIs , how to host static websites on S3 and manage storage efficiently with S3

        • LinkedIn Learning

        Career Essentials in Data Analytics From Microsoft & LinkedIn

      • Cleaned and transformed data using Power Query and Power BI to create interactive dashboards
        • Analyzed 1,000 rows of data using Excel and Power BI, and learned advanced data analysis techniques in MS Access

          • Connect with Me :