Hi there 👋

Shabazuddin Mohammad 👨‍💻

📧 Email: [email protected] | 🌐 Portfolio | 🔗 LinkedIn | 📂 GitHub

Education 🎓

Master of Science in Computer and Information Science
- Florida International University | Florida, USA
- 📅 Jan 2023 - Present
- 🎓 Current GPA: 4.0/4.0
Bachelors of Technology in Computer Science and Engineering
- JNTUH - CVR | Telangana, India
- 📅 July 2015 - June 2019
- 🎓 GPA: 8.33/10
- 📚 Courses: Data Structures and Algorithms, OS, DBMS, ML, AI, Big Data, Web Technologies, IOT, Data Mining, Cloud Computing

Skills 🚀

Languages: Python, Java, JavaScript, C, C++, SQL
Databases: MySQL, MongoDB
Web Technologies: HTML5, CSS, XML, AJAX, JQuery, Bootstrap, REST API
Frameworks: Node.js, React, Next.js, Express.js
Tools: Git, Docker, VS Code, Eclipse, IntelliJ, Jupyter, Atom, Android Studio, Google Collab, Excel

Experience 💼

Yash Technologies Private Limited - Software Engineer

Full-time | 📅 Mar 2021 - Dec 2022
- Implemented routing and authentication for enhanced user navigation and security.
- Created React screens using Stateless Functional Components.
- Automated email notifications using Email.js and contributed to Gulp and Nodemon implementation.
- Implemented user authentication and authorization with Spring Security.
- Designed RESTful web services using Spring Boot.

Yash Technologies Private Limited - Associate Software Engineer

Full-time | 📅 Jan 2020 - Feb 2021
- Developed custom components for front-end UI using HTML5/CSS3, React.js, and Node.js.
- Collected, cleaned, and analyzed structured and unstructured data using R and advanced SQL queries.
- Utilized reactive forms and template-driven forms in React.js.
- Implemented Test-Driven Development (TDD) with Agile methodology.

Phoenix Business Consulting - Software Engineer Intern

Full-time | 📅 Mar 2019 - Dec 2019
- Designed and built an automation tool for DevOps efficiency.
- Provided technical support to over 30 clients, resolving critical issues.

Projects 🚀

Full Stack Food Ordering App - Sept 2023

ReactJS + Redux + Tailwind CSS + Firebase + Framer Motion + Stripe Payment Gateway
Developed a modern React JS-based UI with Framer Motion Animations.
Integrated Stripe Payment Gateway and implemented Custom API Endpoints using Node.js, Express, and Firebase Cloud Functions.

Full Stack Social Media App - Aug 2023

React.js + Appwrite + React Query + TypeScript + Shadcn + Tailwind CSS
Developed a full-stack social media app with React JS, Appwrite, Tailwind CSS, and React Query.
Includes robust authentication, explore page, like and save functionality, and a beautiful UI with CRUD operations.

Secure Image Classification - Deep Learning for Image-Based Authentication - June 2023

CAPTCHA recognition using CNN with TensorFlow/Keras
Developed an image classifier using CNN for CAPTCHA recognition.
Utilized TensorFlow, Keras, and other libraries for image processing and machine learning.

Machine Learning for Face Identification - April 2023

Optimizing Facial Recognition with Support Vector Machines and PCA
Implemented facial recognition using SVM and PCA with the LFW dataset.
Visualized eigenfaces, displayed a confusion matrix, and generated a gallery of predicted and true faces.

I'm always open to collaboration and new opportunities! Feel free to reach out and connect with me. 🌟

mohammadshabazuddin's Projects

devtraining-needit-london

This repository is used by the developer site training content, London release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, REST Integrations, Reporting and Visualizations, and Automated Test Framework courses.

e-commerce-website

An e-commerce website developed using HTML, CSS, and JavaScript. This project showcases a user-friendly interface for browsing products, adding items to cart, and processing orders seamlessly. Experience smooth navigation and responsive design for an enhanced shopping experience.

fedsecguard-federated_learning_techniques_for_advanced_malware_detection

The project focuses on utilizing federated machine learning to enhance the detection of malware in Internet of Things (IoT) devices. The code includes experiments simulating various configurations where clients collaboratively train deep learning models for malware detection without sharing raw data.

food_ordering_website

Developed a full stack web application project for food delivery. For front-end design, the project makes use of HTML, CSS, and React JS. Combining the Node JS, Express JS, MongoDB and Stripe Payment to construct the backend.

hangman_game

Hangman is a classic word game in which you must guess the letters of the word before time runs out!

machine_learning_for_face_identification

Faces recognition project using Support Vector Machines (SVM) and Principal Component Analysis (PCA). It utilizes the Labeled Faces in the Wild (LFW) dataset, employs dimensionality reduction with PCA, and fine‑tunes SVM hyperparameters using RandomizedSearchCV.

netflix-clone

This project is a front-end clone of the popular streaming platform, Netflix. It aims to recreate the immersive and user-friendly interface of Netflix.

secure-image-classification---deep-learning-for-image-based-authentication

This project implements a CNN to classify CAPTCHA images. The code preprocesses images, applies Otsu's thresholding, and uses morphological transformations for character separation. The CNN model includes convolutional, batch normalization, dropout, and fully connected layers. Training, validation, and testing are performed on labeled datasets.

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