HI THERE! I'M

Siddique
Mohammad Kaif

I build performant, aesthetically pleasing, and accessible web applications.

SOME INFO

ABOUT ME

Hello there! I'm Mohammad Kaif Siddique, a passionate web developer dedicated to crafting innovative web designs and optimizing user experiences. Currently pursuing a bachelor's in computer engineering from the University of Mumbai.

Throughout my program, I've immersed myself into HTML, CSS, JavaScript, jQuery and SQL. My toolkit extends to frameworks like ReactJS with a focus on Node.js for the backend. I've refined my skills in RESTful APIs and collaborated with tools such as Tailwind, Bootstrap and GitHub.

Beyond the screen, I'm fueled by my love for gaming and football.

Currently on the lookout for a challenging role in an organization that champions professional growth, I bring not only technical prowess but also a relentless enthusiasm for programming. My commitment to adaptability and continuous learning positions me as a valuable asset poised for impactful contributions.

CHECK OUT MY

SKILLS

    • C#

    • Python

    • Javascript

    • C++

    • HTML

    • CSS

    • NodeJS

    • React

    • Java

    • Git

    • Firebase

    • MongoDB

    • PostgreSQL

    • Linux

  • TAKE A LOOK AT MY

    PROJECTS

    Wiki Search

    FinStrive - Finance App

    Technologies Used: React .NET Web API TypeScript

    • React + TypeScript for Frontend to display financial data from FinancialModellingPrep API
    • .NET Web API for stocks, comments, appuser and portfolio handling.
    • Implemented repository pattern and dependency injection for enhanced backend and Identity JWT authentication for secure user access to create portfolio and comment on stocks
    Wiki Search

    BaitAware - Clickbait Detection System

    Technologies Used: Python Flask Tailwind

    • Utilizes Python and Flask framework to create a user-friendly web-based application for image input.
    • Implements deep learning algorithms in Python to process and analyze images for clickbait content.
    • Integrates Optical Character Recognition (OCR) and Convolutional Neural Networks (CNNs) to enhance text and image analysis for precise clickbait detection.
    Smart-Plant-Monitoring-System

    noxfeed: A Blogging Platform

    Technologies Used: Next.js, MongoDB, Prisma

    • Full Stack blog with login, create post and comment functionality
    • Used Next.js for SSR and Prisma with MongoDB for Object Data Modelling
    • Used OAuth for authentication and deployed on Vercel.
    Smart-Plant-Monitoring-System

    Smart Plant Monitoring System

    Technologies Used: Javascript, Firebase, Arduino

    • IoT sensors: DHT11 & Soil Moisture sensors used.
    • Sensor data is pushed to a firebase real-time database(RTDB)
    • Real-time updates on web dashboard. Hosting and authentication provided by firebase
    movie-recommender-system.

    Movie Recommender System

    Technologies Used: Python, NLTK, Streamlit,

    • Uses Content filtering to recommend movies from TMDB 5000 dataset
    • The model is a cosine-similarity which is designed using the Streamlit library and the hosting is done on Heroku
    Weather App

    Weather App

    Technologies Used: React

    • React was used to create the design of the app
    • OpenWeatherMap API was used to fetch the weather of the input city.
    • Temperature and weather of the city is displayed. The page is hosted on Github Pages.
    Wiki Search

    Wiki Search

    Technologies Used: React

    • Wikipedia API is used to get the data on the input
    • The top 20 searches and the total results generated are displayed.
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