Checkout my projects

Developed a Convolutional Neural Network (CNN) that translates video from a front-facing dash camera into precise steering commands, enabling real-time autonomous vehicle control. Enhanced model accuracy through hyperparameter tuning, demonstrating strong unsupervised feature extraction and a robust understanding of driving conditions.

Built a Python automation tool to send WhatsApp messages, providing an efficient and streamlined messaging solution. Implemented a user-friendly GUI with PySide6 to load contacts from a CSV file and send various types of messages, including images and customized text, offering flexibility for tailored communication.

Developed a SaaS application for real-time event tracking, capturing and logging events to optimize workflows and trigger automated alerts.

Developed a responsive Angular-based web application that replicates the design and functionality of the Government of Ontario's Common Assessment Questionnaire.

Designed a Deep Learning model to recognize hand gestures in sign language using CNNs, achieving 95% accuracy. Employed PCA to optimize computation, ensuring efficient real-time gesture recognition.

Developed a machine learning pipeline to optimize telemarketing strategies by predicting customer responses. Applied resampling techniques and hyperparameter tuning to improve recall, achieving a 68% increase in positive case detection.