ELIZ HABIBOULLAH Software Engineer • Machine Learning Enthusiastic

About Me Projects

Meet Me

Professional Me

I’m a final year student at City University of Malaysia, pursuing an undergraduate degree in Computer Science with Honours in Software Engineering. I’m excited about deepening my expertise through a PhD program, focusing on innovative machine learning applications. I’m currently interning at Gridicity. Outside of this role, I’m working on a separate project as a MERN stack developer, where I build multi-vendor mobile marketplace applications. From time to time, I do creative marketing consulting for EAH Media. My interests span AI, machine learning, computer vision, cyber-physical systems, quantum computing, NLP, and robotics.
I am actively seeking research opportunities in these areas.

Languages

My favorite languages for software engineering and machine learning.

ML F/W & L

TensorFlow Logo PyTorch Logo Scikit-learn Logo Keras Logo

My Go-To Frameworks and Librarys for Designing, Developing, Training, and Deploying ML Models

Full Stack

My preferred technologies for full stack web programming and database architecture.

Go-To Tools

My favorite tools for version control, code editing, and container orchestration.

Featured Projects

Personal Website

Personalized Product Recommendation System for Marsaty

   

Developed a machine learning-based recommendation system to personalize product suggestions for users on the Marsaty platform. The system analyzes customer behavior to generate tailored product recommendations, enhancing the shopping experience and boosting user engagement.

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Perpetual Crusades

Neural Network SMS Text Classifier

   

Built an SMS text classifier using neural networks to automatically detect and filter out spam messages. This project was developed during my training at FreeCodeCamp for the Machine Learning with Python Certification. The classifier processes text messages and categorizes them as either spam or legitimate, improving the efficiency of communication.

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COVID-19 Tracker App

NLP-Powered Chatbot

     

Designed and developed a custom chatbot using Python and NLP technologies to enhance customer support. Implemented sentiment analysis to better understand feedback and improve response accuracy, leading to more effective interactions and higher customer satisfaction.

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Valuto: Account Management System
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Full Stack Web App

       

Created a full-stack comprehensive SaaS solution that integrates multiple vendors, streamlines operations, and automates tasks. The platform allows seamless product listing, customer targeting, and order management, offering exponential growth opportunities for businesses of all sizes.

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