Bachelor · Science in Computer Science & Engineering
Computer Science & Engineering graduate skilled in software development, AI/ML, frontend and UI/UX design with proficiency in C++, Python, JavaScript, Flutter and Figma. Aspiring to build a career in software and AI- driven product development, creating intelligent and user-focused digital solutions.
Developed a cross-platform tracking application using Flutter and Dart featuring authentication, media tracking, calendar scheduling, profile management and a SQLite-backed Dart backend.
Designed a dark-mode mobile cinema booking interface with interactive seat selection, showtime browsing and digital boarding passes.
Developed an Arduino-based assistive smart wheelchair using hand gesture recognition for gesture-controlled operation.
Designed a dynamic beverage landing page with flavor-based theme transitions, vector packaging designs, 3D product renders and interactive visual elements.
Developed a full-stack inventory management system using Node.js and Express with stock tracking, purchases, transaction history, staff management and notifications.
Designed an enterprise admin dashboard with delivery tracking, driver assignment, order lifecycle management, CMS, promotional banners and discount controls.
Developed a machine learning web application for detecting financial anomalies, credit defaults and fraudulent behavior with bulk dataset processing.
2022 – 2026
Bachelor · Science in Computer Science & Engineering · 3.49/4.00
2019 – 2021
HSC · Govt Azizul Haque College, Bogura · 5.00 / 5.00
2011 – 2018
SSC · Bogura Govt. Girls' High School · 5.00 / 5.00
Designed a responsive restaurant landing page and modular UI kit with dish browsing, search, custom micro- interactions and mobile navigation.
Developed a Python-based ATM simulation using OOP principles, implementing account management and core banking operations.
Designed an interactive sneaker e-commerce product card system with dynamic color variants, hover interactions, and modular component states.
An Analysis of Personal Data Selling on Social Media Platforms •Conducted a data-driven study on social media privacy and personal data awareness in Bangladesh, developing a Privacy Risk Score using survey data.
with a Hybrid Ensemble, evaluated using classification metrics, ROC-AUC, confusion matrices, and feature importance.