I learn best by building practical systems and experimenting with technologies outside of the classroom.
This page collects selected projects across cybersecurity, artificial intelligence, cloud computing, data engineering, and software development.
Three practical computer vision experiments covering OCR preprocessing, object detection and segmentation, relative depth estimation, and AI-powered interior redesign.
A secure, anonymized university feedback & evaluation platform built with Flask and deployed on Microsoft Azure.
A computer-vision project exploring perception for autonomous-vehicle scenarios, including driver distraction and passenger posture detection.
A Big Data project using Apache Spark and PySpark to analyze e-commerce transactions, engineer RFM features, and segment customers through machine learning. It compares K-Means and Agglomerative Clustering using squared Euclidean silhouette scores and demonstrates transaction enrichment with Kafka and Spark Structured Streaming.