Shar
Aspiring software developer with hands-on experience in Python, Django, and machine learning.
Aspiring software developer with hands-on experience in Python, Django, and machine learning.
Developed and deployed RESTful APIs using Django with PostgreSQL on AWS RDS for a scalable social media platform.
Contributed to LiDAR-based object detection using YOLOv8
including annotation
semantic segmentation
and object detection.
Led a 3-member team to develop a real-time Sign Language Recognition System using a no-code machine learning model trained with Google Teachable Machine .
Designed and implemented a deep learning-based NSFW content detection system using an Xception-based CNN model
trained on 20
000 labeled images
achieving 92% classification accuracy .
Built a credit card fraud detection system using scikit-learn
evaluating multiple classifiers including Logistic Regression (94.6% accuracy)
Random Forest (96.2%)
Support Vector Machine (93.1%)
and K-Nearest Neighbors (88.7%) to identify fraudulent transactions in an imbalanced dataset.