Deep Learning Enthusiast
Final year CSE student, passionate about building intelligent systems and extracting insights from data
I'm in my final semester of Computer Science and Engineering. I started out building my foundation in C, C++, and Java, which taught me how software actually works. These days, I mostly use Python to build Machine Learning models and backend systems. My main focus right now is research—specifically using Deep Learning. I'm comfortable working across the stack (HTML/JS to MongoDB), but I prefer working on the logic and intelligence behind the scenes.I also have a strong passion for creating usable, trusted datasets for the research community. When I'm away from the keyboard, I'm usually watching movies or sports and I love to hang out with friends.
A research proposal for a custom lightweight CNN architecture designed to detect digital artifacts in deepfake media.
Deepfake media is rapidly destabilizing trust in social media, requiring lightweight detection tools.
Achieved 91% accuracy in artifact detection using a custom CNN model, outperforming similar lightweight architectures.
Creation of a usable, trusted, and ready-to-use dataset covering 40 distinct words of Bangla Sign Language to facilitate robust model training.
Existing datasets for Bangla Sign Language often lack diversity or reliability, hindering effective research.
Curated a clean, annotated dataset of 40 words, specifically processed to be "ready-to-use" for immediate training.
Selected experiments and academic works
Java-based application for managing bank transactions, utility transactions, and user records.
Check out my work and connect with me
Feel free to reach out — I'll get back to you within 24 hours.
nadimdewan789@gmail.com
+880172117946
Dhaka, Bangladesh