Software Engineer & ML Enthusiast with a strong background in mobile app development. Passionate about building impactful products and learning new technologies.
Get live scores, real-time match updates, instant notifications, fixtures, team information, player profiles, and the latest World Cup news in one place.
University app for students, teachers and officers of SUST — results, course registration, guest house booking, and job applications.
A matrimony app to help you find your perfect match. Published in both the Play Store and App Store.
Comprehensive web application for managing hall bookings with real-time availability checking and reservation system.
Responsive e-commerce website UI built with modern frontend technologies, featuring product listings, cart interface, and clean user experience.
ML model built from scratch for face detection and recognition using computer vision techniques.
Powerful application to merge multiple PDF files into a single document with a clean, intuitive interface.
Flutter task management app with add/edit/delete functionality, priority levels, completion tracking, and filtering options.
Published research on ML and NLP for detecting hateful content in memes using multimodal approaches. Published in INDONLP Conference.
Led a team to victory developing an advanced e-ticketing system for Bangladesh Railways, improving transport efficiency nationwide.
Innovative ed-tech platform for pre-schooling autistic children, showcasing social impact through technology.
Undergraduate thesis on "Multimodal Hateful Meme Detection" published at the INDONLP Conference.
Published research titled "Are You Comfortable Sharing It?: Leveraging Image Obfuscation Techniques to Enhance Sharing Privacy for Blind and Visually Impaired Users" at the CHI conference.
Strong problem-solving track record across Codeforces, LeetCode, HackerRank, and other competitive platforms.
National Girls' Programming Contest 2019 and DataVerse Challenge — ITVerse 2023.
Graduated from Shahjalal University of Science and Technology with a degree in Computer Science and Engineering with CGPA 3.10.