Hi, I’m Hamza Mohammed, a Full Stack Developer!

Welcome to my portfolio! I’m a passionate and data-driven full stack developer specialiazed in the MERN stack. I create dynamic and responsive web applications with seamless user experiences!

View My Work!

Custom Web Development

Crafting bespoke solutions that align with your vision and goals

Single Page Applications (SPA)

Developing fast, responsive and engaging SPA’s

API development &Integration

Ensuring seamless communication between different software systems

Hello!

With over 2 years of experience in web development, I specialize in creating dynamic, high-performance web applications using React, NodeJS, and Python. My expertise spans the full stack, allowing me to build robust backend systems and intuitive front-end interfaces.

Additionally, I excel in web scraping, extracting valuable data to inform business decisions and drive growth. As a seasoned React Developer and NodeJS expert, I bring a strong technical background and a passion for innovation. My proficiency in Python enhances my ability to develop scalable solutions and automate processes. I have successfully delivered numerous projects, from sophisticated web applications to comprehensive data extraction tools, consistently exceeding client expectations.

I thrive on projects that challenge me to push the boundaries of technology.

Whether you’re a startup needing a reliable web solution or an enterprise aiming to streamline your data operations, I am here to help you achieve your goals with precision and dedication.

Portfolio

Tutor Application

This tutor application is a comprehensive platform designed to connect tutors with students. Built from scratch using the MERN stack (MongoDB, Express.js, React, Node.js), it offers a seamless and interactive experience for users. Key features include user authentication, profile management, session booking, and real-time messaging.

To ensure robust performance and scalability, the application is fully dockerized, enabling easy deployment and consistent operation across different environments. Link to webapp here

Pinterest Data Pipeline

In this project, I aimed to replicate a reliable and scalable data pipeline using a Lambda architecture. This architecture incorporates two distinct pipelines: one for batch processing and another for real-time streaming processing, leveraging different tech stacks for each.

The batch-processing pipeline provides a comprehensive and accurate view of historical data, ensuring in-depth analysis and insights over time. In contrast, the real-time streaming pipeline delivers immediate processing of recent data, offering up-to-the-minute views and rapid response capabilities.

Explore this project here to see how I integrate various technologies to build efficient and scalable data solutions.

Data Collection Pipeline

This project showcases the implementation of an industry-grade data collection pipeline designed to run scalably in the cloud. The pipeline efficiently gathers, processes, and stores large volumes of data, ensuring robustness and reliability at every stage.

By leveraging cloud technologies, this data collection system is built to scale dynamically, accommodating varying data loads and maintaining high performance. The project highlights my expertise in developing scalable solutions that meet industry standards, demonstrating proficiency in cloud computing and data engineering.

Explore this project here to see how I created and managed advanced data collection systems capable of handling the demands of modern data-driven environments.