CSE student · North South University
A problem solver building useful things with AI, machine learning & the web.
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I'm a computer science student who turns curiosity into working software, from full-stack web apps to models that read images and reason through language.
My interest in technology grew from simple curiosity into a strong drive to build real, useful things, from web apps to intelligent systems that can understand data and language.
I break large problems into smaller pieces and approach them methodically. Whether it's designing a database, implementing an algorithm, or deploying a full-stack app, I care about clarity, structure, and maintainability, and I learn best by building.
At the core, I enjoy problem solving, especially how AI and machine learning can help in everyday digital experiences. I'm looking for meaningful challenges and teams that care about quality and impact.
Writing clean code for solving problems and building real-world applications.
Designing schemas, writing queries, and connecting applications to data storage.
Building and deploying web applications with a focus on usability, performance, and reliability.
Exploring intelligent systems that learn from data and understand language to make useful predictions.
Full-stack web
A full-featured ticketing platform for metro, bus, and train travel in Bangladesh: online booking, seat selection, real-time updates, Google sign-in, user profiles, an admin dashboard, and reviews. A real upgrade over manual ticketing.
Deep learning
A deep learning system that classifies histopathological images into five cancer types through a web interface. Upload an image and get a prediction from the trained models.
NLP · Large language models
Decoding strategies for large language models using a "Search Against Verifier" approach: Chain-of-Thought prompting combined with Self-Consistency (majority voting) for more accurate outputs than plain inference.