Master’s student in Artificial Intelligence & Machine Learning at the University of Adelaide(Adelaide University) with hands-on experience across full-stack development, research, and applied machine learning. I build performant digital products, work comfortably across modern frameworks, and care deeply about usability, clean architecture, and measurable impact.
I enjoy creating software that feels clean to use, scales well technically, and tells a strong story professionally. My work spans full-stack apps, research publications, academic leadership, and real-world teamwork across fast-paced environments.
Master of Artificial Intelligence & Machine Learning
BSc in Computer Science & Engineering · GPA 3.50/4.00 (Cum Laude)
Research Associate
Indian Research Academy, Delhi, India
2024 – Present
Former Software Engineer Intern
RedDot Digital Limited (Subsidiary of Robi), Dhaka
Jul 2024 – Nov 2024
Former Graduate Teaching Assistant
North South University, Dhaka
Aug 2023 – Jun 2024
Former Chair
NSU ACM Student Chapter, Dhaka
Jan 2023 – Dec 2023
A focused showcase of web and software projects that reflect architecture choices, practical delivery, and product presentation.
A student chapter web platform built with a strong full-stack architecture and deployed for real student community use. The live screenshot shows a dark landing page with event highlights, chapter branding, and a structured content layout.
A personal brand site focused on research credibility, developer identity, and recruiter-friendly presentation. This project reflects information design, frontend polish, and portfolio storytelling.
A Flutter-based client project with a custom interface and story-driven mobile experience. The live screenshot shows a clean reading layout with audio support, navigation actions, and child-friendly interaction design.
My background combines technical depth with communication-heavy roles, which helps me ship with empathy, clarity, and reliability.
RedDot Digital Ltd. (ROBI)
North South University
Indian Research Academy
My publications showcase a foundation in privacy-preserving NLP, systems performance, and socio-technical analysis.
Global Development Network Working Paper, 2025
Mixed-methods analysis of post-COVID-19 infodemic trends across Bangladesh, India, and the United Kingdom, highlighting governance gaps and intervention opportunities.
SN Computer Science (Springer), 2023
A privacy-preserving complaint analysis framework using federated learning and transformer-based NLP models.
IEEE ICCCNT, 2023
Comparative analysis of machine learning workloads across multi-core environments to understand performance and scalability.
I’m open to conversations around software engineering, AI/ML projects, internships, research collaboration, and impactful digital product work.
