CSE undergrad at Shahjalal University of Science and Technology. I build full-stack web apps, cross-platform mobile experiences, and AI/NLP systems — from production business platforms to research on Bangla NLP.
Sylhet · 2026I'm a Computer Science & Engineering undergrad at Shahjalal University of Science and Technology, building software at the seam of web, mobile, and AI.
I care about scalable, user-centric applications that make a real impact — most of my work sits at the seam of full-stack development, AI/ML, and natural language processing. I like turning research ideas into shippable products.
Outside coursework I serve on the executive committee of the CSE Society at SUST, run problem sets on Codeforces, and write the occasional paper — currently on Bangla NLP, accepted at IEEE QPAIN 2026.
Business management platform for small businesses
A production-ready financial platform with sales, expenses, CRM, inventory, real-time dashboard with interactive charts, and CSV report export. REST APIs with TypeScript, Zod, JWT; role-based access (Admin/Staff), rate-limiting, and security headers (CSP, HSTS, X-Frame-Options).
Campus safety system for SUST
A dual-app anti-ragging ecosystem with real-time location tracking and 7-day history. Routes emergency medical alerts to the SUST Medical Center and university authorities.
Emergency donor discovery, filtered in real time
A platform for emergency donor discovery with role-based access and Google OAuth. REST APIs handle real-time donor filtering and availability so recipients can find matches in seconds.
Managing tech events and the departmental community. Running workshops and hackathons for CSE undergrads.
Coursework in Structured Programming, Discrete Mathematics, Data Structures, OOP, and Algorithm Design. Focus on full-stack development, AI & NLP.
Science group — completed higher secondary with excellent results.
Accepted at the 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence. A novel transformer-based framework for classifying tenses in Bangla-language text.
Selected out of 341 teams. Recognized by BRAC, GCA, and IWMI.
Bangla tense classification framework accepted at IEEE QPAIN 2026.
Open to internships, contract work, and unsolicited project ideas. I respond within a day — sometimes within a minute.