B.Sc. Engg. in Electrical & Computer Engineering from RUET (CGPA 3.30 / 4.00). I build production web, back-end and Android products, and publish deep-learning research on medical imaging and explainable AI — 5 journal papers and 4 conference proceedings.
I am a Bangladeshi engineer working across the full stack — from embedded IoT hardware and native Android apps to Node.js and React products — with a research practice focused on explainable deep learning for medical imaging and network security.
My undergraduate thesis at RUET produced BOIMELA, an EPUB3 reader with a multilingual e-book store, an OAuth 2.0 API and an MVVM architecture. Since then I have led client work at Qubitech Solutions, published nine peer-reviewed papers, and won international project awards including IEEE YESIST12 2020 (Special Track winner).
Mobile EPUB3 reader with an integrated multilingual e-book store for reading and purchasing eBooks in English and Bangla.
Node.js REST API supporting the Boimela EPUB3 reader, built with MVVM-friendly structure and OAuth 2.0 access.
React web app for the Boimela e-book store — browse, purchase and read eBooks online.
Plasma & blood banking platform for Android connecting donors with recipients, with back-end services for registration, search and matching.
Immersive 360° VR room visualization platform for exploring tile catalogs in realistic VR environments.
RESTful Node.js back-end for the VR visualization platform, implementing user authentication and tile management with MongoDB.
React administrative dashboard for managing tile textures and platform configurations.
React task management web application with real-time CRUD operations.
Mobile telemedicine platform for Android enabling seamless patient-doctor interaction, developed for the IEEE Region 10 HAC Special Call during COVID-19.
Android application in Java and XML that assists users in daily Islamic practices.
CNN-based Android app detecting 17 lung diseases from chest X-rays using a DenseParallel-ELM model.
CNN-based Android app classifying cotton and tomato plant diseases, trained on plant image datasets to achieve high accuracy.
Educational Android application integrating various grammar exercises and quizzes to enhance English learning.
PHP-based student-teacher profile management system for web, with performance tracking.
PLASMA+ — an AI-based blood and plasma banking mobile application that facilitates COVID-19 detection from chest X-ray images and connects donors and patients nationwide.
PLASMA+ — a deep-learning based lightweight lung-affected disease recognition app with COVID-19 detection.
IoT Based Multi-layered Security & Automated Monitoring System — a sustainable multi-layered security solution for home and office at minimum cost, with monitoring and alarm.
IoT based Monitoring Car Robot for Disaster Management — detects environmental parameters and transmits vital information to a central host, enabling efficient rescue operations in specific areas.
Addressed local needs during COVID-19 by proposing and developing a telemedicine platform for Android to establish seamless patient-doctor interaction. Participated in a high-profile startup pitching competition.
Managed communications between event sponsors and organizers, and interacted with the judges' panel during the competition.
Developed an event management website for the technical organization of the Technocracy 2019 event.






I am open to software engineering roles in Bangladesh and overseas. If you are hiring, or just want to talk about deep learning, Android or full-stack work, my inbox is open.