About Me
I am a Computer Science graduate from BRAC University, Dhaka, with a strong research-driven interest in Machine Learning, Deep Learning, and Computer Vision. My academic and project work focuses on developing intelligent, data-driven systems, particularly in areas such as video understanding, anomaly detection, and applied machine learning.
My undergraduate thesis centers on context-aware zero-shot anomaly detection in surveillance videos, where we designed a dual-stream framework leveraging spatiotemporal transformers, predictive modeling, and vision-language alignment to detect unseen anomalous events without requiring labeled anomaly data.
Beyond deep learning research, I have worked on applied ML projects involving spectrophotometric data analysis and classical ML models — strengthening my skills in data preprocessing, feature engineering, and experimental evaluation. I am proficient in Python-based ML ecosystems including PyTorch, TensorFlow, and the broader scientific computing stack.