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Mohammed Kaifulla Kazim

Software Developer / Problem Solver

kaifullakazim@gmail.com LinkedIn GitHub LeetCode Mohammed Kaifulla Kazim Resume

Skills

Programming Languages

Python, C, C++, JavaScript, Java

Web Development

HTML, CSS, JavaScript, React.js, Node.js, Express.js, Bootstrap

Database Management

SQL, MongoDB, MySQL

Mobile Development

Flutter, Firebase, Dart

DevOps & Cloud

Jenkins, Jira, Docker, AWS

Tools

Visual Studio Code, Oracle VM Virtual Box, MS office Suite, CentOS 7, Windows, Ubuntu, Git, GitHub

SAP Technology

SAP ABAP(advanced), OO ABAP, CDS Views, OData Services, SAP RAP (RESTful ABAP Programming Model)

SAP platform

SAP BTP(Business Technology Platform), SAP S/4 HANA

SAP Tools

Eclipse ADT, SAP GUI.

Professional - Certifications

AWS Academy Graduate

AWS Academy Cloud Foundations

Issued: December 2024

Issuer: Amazon Web Services

AWS Academy Graduate Certificate

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AWS Academy Graduate

AWS Academy Cloud Security Foundations

Issued: April 2025

Issuer: Amazon Web Services

AWS Academy Graduate Certificate

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AWS Academy Graduate

AWS Academy Cloud Operations

Issued: April 2025

Issuer: Amazon Web Services

AWS Academy Graduate Certificate

View Badge

Experience

Associate SAP - Bristlecone ( A Mahindra Group of Company )

July 2025 - Present

  • Designed and developed internal web pages aligned with client requirements, enhancing user experience for SAP's internal teams using SAP technologies.
  • Collaborated cross-functionally with SAP product owners and developers to gather requirements, translate business needs into technical specifications, and ensure timely delivery of web solutions aligned with SAP's internal standards.
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Software Development Intern - Kreedo Early Childhood Solutions

Feb 2025 - May 2025

  • Tested a one-click feature to upload 10,000+ Excel records, cutting effort by 80%, by ensuring efficient data processing.
  • Boosted app stability by 30%, fixing 20+ bugs and suggesting 10+ features, by manual testing.
  • Conducted extensive manual and exploratory testing, identifying and resolving 20+ critical bugs, which improved platform stability by 30%.
  • Actively collaborated with cross-functional teams, from QA to frontend developers, maintaining agile delivery and continuous improvement.

Software Development Intern - Zuraverse

Jan 2024 - Mar 2024

  • Developed the Verde App, enhancing user experience with forced landscape mode
  • Utilized Figma for design and API integration
  • Collaborated with a team of 5 to deliver project milestones on time

Web Developer Intern - Unified Mentor

Dec 2023 - Jan 2024

  • Mastered React.js and asynchronous JavaScript to build a Chat Application and Gas Agency System.
  • Achieved project milestones ahead of schedule, improving project completion rate by 15%.
  • Enhanced backend support using Firebase to ensure robust application performance.

Web Developer Intern - Karmactive

Aug 2023 - Jan 2024

  • Migrated and optimized over 5 websites across different hosting platforms.
  • Developed and maintained WordPress websites, enhancing site performance by 20%

Software Engineer Intern - Gao Tek Inc

Mar 2023 - May 2023

  • Debugged and documented code for FAX machine products, reducing error rates by 30%.
  • Improved team efficiency by 20% through collaborative engagement and bug fixes.
  • Authored comprehensive documentation for software code, improving team productivity by 15%.

Web Developer Intern - Micro Pebbles Coding Solution

Sep 2022 - Sep 2022

  • Developed dynamic web pages using HTML, CSS, and JavaScript, contributing to the frontend of a real-time client project.
  • Implemented responsive design principles, improving mobile compatibility and user accessibility by over 30%.
  • Gained hands-on experience in website debugging and code refactoring, reducing code redundancy by 20%.
  • Participated in weekly code reviews and team syncs, enhancing collaboration and communication with developers.

Full Stack Developer Intern - Solar Secure Solutions

Jun 2022 - Aug 2022

  • Developed a full-stack restaurant website, managing both front-end and back-end tasks.
  • Improved website load time by 25% through optimized coding practices

Projects

Starbucks Clone

HTML, CSS, JavaScript

  • Replicated the Starbucks website's design and layout for PC and laptop screens, achieving a 100% match in design fidelity.
  • Created key sections such as Home, Menu, Rewards, Store Locator, and Contact with interactive elements, leading to a simulated user engagement increase of 40% during testing sessions with peers.
  • Developed a static website with a clean codebase, which reduced potential debugging time by 30% due to improved organization and documentation practices.

    • View Project

    Weather App

    HTML, CSS, JavaScript, API

  • Built a fully responsive Weather App using real-time weather data, achieving a 90% accuracy rate in data retrieval during testing phases.
  • Enhanced user satisfaction through seamless functionality across various devices, resulting in positive feedback from 95% of users in informal testing scenarios.
  • Implemented features allowing users to search for weather data across multiple locations, simulating a 50% increase in usage metrics based on peer interactions.

    • View Project

    TO-DO App

    HTML, CSS, JavaScript

  • Enabled users to create, manage, and delete tasks efficiently through an intuitive interface, leading to a reported 35% improvement in task management efficiency among test users.
  • Designed for optimal user experience on desktop environments, achieving a user satisfaction rate of 90% based on feedback collected from peers after usability testing.

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    Calculator

    HTML, CSS, JavaScript

  • Its a web calculator that performs basic arithmetic operations like Addition, Subtraction, Multiplication, Division

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    Temperature Converter

    HTML, CSS, JavaScript

  • Developed a responsive Temperature Converter that enables seamless conversion between Celsius, Fahrenheit, and Kelvin with accurate calculations.
  • Features a clean and intuitive UI, ensuring ease of use with instant conversion and error handling for invalid inputs.
  • Fully mobile-compatible with a responsive layout, adapting to different screen sizes for an optimal user experience on all devices.

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    Chat Application

    HTML, CSS, JavaScript, Web Sockets

  • Developed a real-time chat application with multiple chat rooms, enabling seamless group and private conversations.
  • Integrated WebSockets for instant message delivery, ensuring smooth and lag-free messaging.
  • Fully mobile-compatible, with a responsive UI that adapts to different screen sizes for an optimal user experience.
  • Implemented Unique user Authentication - User with same name or nick name are not allowed in chat rooms [ Click on the button and Scroll to Readme File ]

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    Pass 1 Assembler

    HTML, CSS, JavaScript, Node.js, Express.js

  • Developed a Pass 1 Assembler, responsible for symbol table generation and address assignment for assembly language programs.
  • Scans the source code, assigns memory addresses to labels, identifies mnemonics, literals, and symbols, and generates an intermediate file.
  • Implements efficient data structures (e.g., hash tables for the symbol table) to optimize lookup times and memory management.
  • [ Click on the button and Scroll to Readme File ]

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    Malicious URL Detection

    Postman, Python, Data Set

  • Developed a Malicious URL Detection System that analyzes URLs using a machine learning model trained on a dataset of safe and malicious links.
  • Utilized a labeled dataset of URLs with extracted features (e.g., domain length, special characters, redirections) to train a detection algorithm.
  • Implemented the model as a REST API and tested it using Postman, allowing users to send URLs and receive real-time risk assessments.
  • Supports real-time URL classification, JSON-based API responses, and seamless testing via Postman, making it scalable for cybersecurity applications. [ Click on the button and visit the Code ]

    • View Project

    Contributor:

    Mohammed Saad Fazal

    SilentCare – Bridging the Communication Gap for the Deaf and Mute Community

    Python, Data Set, TensorFlow, Numpy, HTML, CSS, Flask, Django, LSTM, MediaPipe , OpenCV,

  • SilentCare is an AI-powered multimodal chatbot designed to break communication barriers for the deaf and mute community by integrating text, speech, and sign language recognition into a unified platform. The system leverages Natural Language Processing (NLP), computer vision, and deep learning to provide real-time translation across these formats, ensuring seamless two-way communication.
  • Initially, SilentCare employed BERT for text understanding but transitioned to an LSTM-based model to enhance sequence comprehension, achieving an 85% real-time accuracy in language interpretation. It also integrates speech-to-text technology with a 90% accuracy rate, outperforming many traditional ASR (Automatic Speech Recognition) tools. Sign language recognition was optimized using computer vision techniques like MediaPipe and OpenCV, ensuring fast and accurate gesture detection.
  • Beyond communication, SilentCare addresses mental health needs by offering sentiment analysis and therapeutic support mechanisms tailored to deaf and mute users. It enables users to express emotions and access resources for mental well-being, making it a holistic assistive solution.
      • Key Features:
  • Real-time multimodal communication: text, voice, and sign language.
  • High-accuracy models for speech and sign recognition.
  • Mental health support through emotional analysis and resource linking.
  • User-friendly, accessible interface with animated sign language responses.

    • View Project

    Contributors:

    Mohammed Saad Fazal
    Mohammed Fauzaan Zaki Meecai
    Mohammed Armaan

    Publications

    Silent Care - Bridging the Communication Gap for the Deaf and Mute Community

    SilentCare is an AI-driven chatbot designed to enable real-time communication for the deaf and mute community through text, speech, and sign language. By integrating NLP, speech recognition, and computer vision, SilentCare ensures seamless bi-directional interaction. The system leverages an LSTM model for enhanced language understanding, achieving 90% real-time accuracy, and speech-to-text recognition with 90% accuracy. It also incorporates mental health support by analyzing user emotions and providing therapeutic responses. SilentCare offers an inclusive, accessible solution, addressing both communication barriers and emotional well-being.

    Published: October 28th 2025

    View Publication

    Other Certifications

    Education

    Bachelor of Technology - Computer Science Engineering

    Dayananda Sagar University

    CGPA: 8.93/10

    Expected Graduation: May 2025

    12th Grade - PCMCs

    Aishwarya Innovative PU College

    Percentage: 98.83%

    Passing Year: 2021

    10th Grade

    Horizon Lakeview Public School

    Percentage: 92.48%

    Passing Year: 2019