Ahmed Bin Mazhar

Delivered engaging lectures and practical sessions in Software Engineering, fostering critical thinking and problem-solving skills among undergraduate students. Contributed to curriculum development to ensure alignment with current industry standards and emerging technologies.

Increased BTEC/T-Level pass rates by 15% through refining course material’s alignment with exam standards. Secured 100% compliance with Ofsted educational standards during institutional inspection.

Achieved 100% classification accuracy for RBC detection using DenseNet-121 and 99.4% accuracy with MobileNetV2 on blood smear image datasets. Developed XAI-enhanced diagnostic models where MobileNet-V2 demonstrated superior clinical interpretability, correctly identifying 92% morphological features versus 87% for comparative architectures.

Performed exploratory data analysis on multi format datasets (Excel, JSON, images). Cleaned and pre-processed raw data, handling missing values, outliers, and identified key patterns.

Developed and maintained a React Native mobile app for online room rentals with improved user accessibility. Built and deployed Django REST APIs for app functionality, hosted on AWS EC2, within an 8 week deadline.

Developed skills in lesson planning, delivering effective teaching sessions, and assessing learner progress. Gained practical experience in creating inclusive learning environments by adapting teaching strategies to meet diverse learner needs and promote positive outcomes.

Grade: First-Class Honours

Received First-Class Honours. Focused on classification of microscopic blood smear images for different types of red blood cells using CNNs and ViT.

Grade: First-Class Honours

Received First-Class Honours. Final year project was a hostel booking system composed of mobile and web app using ReactJS, native and Django.