Computer Vision and Intelligent Systems Research Lab — BRAC University
Dec 2024 — Present· 1 yr 10 mos
2022 – 2026
Bachelor of Science · Computer Science and Engineering · 3.73 / 4.00
Computer Science graduate with a strong interest in software development, Data Science & Machine Learning
Implemented U-Net from scratch for semantic segmentation of plant images.
Predicted AQI across all Bangladesh districts using an ensemble of 8 models; achieved 76% accuracy.
Full-stack travel platform with itinerary planning, booking, expense tracking, and payment API integration.
Classified disease stages using ML models; best result 87.44% accuracy (Decision Tree).
Repair tool for a virtual file system (VSFS) validating superblock integrity, bitmap accuracy, and inode consistency.