Research and Machine Learning
Working on efficient deep learning architectures for constrained environments, with interest in practical deployment and optimization.
Final-year CSE undergraduate at KUET
Building software with research depth, product thinking, and strong problem-solving discipline.
I am
I am Md. Robiul Islam, a Computer Science and Engineering student at KUET graduating in 2026. My recent work spans machine learning research, Android apps, backend systems, and competitive programming.
700+
Problems solved across Codeforces, LeetCode, and CodeChef
CGPA 3.70/4.00
KUET, BSc in Computer Science and Engineering
About Me
Growing from a student portfolio into a research-ready software profile.
I am passionate about machine learning, software engineering, and academic research. My thesis work focuses on low-compute vision architectures for resource-constrained environments, where I applied mixed-precision quantization on Vision Transformers for more efficient edge deployment.
Alongside research, I enjoy building practical systems: Android applications, backend-driven web products, and recommendation tools. I also maintain a steady competitive programming habit that strengthens my algorithmic thinking.
Location
Dhaka, Bangladesh
Expected Graduation
2026
Current Interest
ML Systems and Software Engineering
Core Focus
The areas I have been strengthening through coursework, projects, and research.
Mobile and App Development
Built Android and iOS projects using Java, XML, Swift, and SwiftUI with local storage, Firebase, and clean architecture patterns.
Backend and Full-Stack Systems
Hands-on with Laravel, Django, Spring Boot, and SQL-backed products for recommendation, commerce, and management workflows.
Technical Stack
Education and Thesis
- BSc in Computer Science and Engineering Khulna University of Engineering and Technology, 2022-2026 CGPA: 3.70 / 4.00
- Thesis Design and Optimization of Low-Compute Vision Architecture for Resource-Constrained Environments
- Academic Background HSC GPA 5.00 and SSC GPA 5.00
Community and Activities
- Bit2Byte Member, Software R&D Community at KUET
- SGIPC Programming contest group member focused on algorithmic problem solving
- BitFest 2025 Event organizer for the 24-hour hackathon at KUET CSE national festival
Selected Work
Projects that show how I build across mobile, backend, and applied AI.
Railway Management System
Android ticketing app with admin and user roles, route search, schedule management, and booking flow.
Open Project
Cardiac Recorder
Team-built Android app for blood pressure and heart-rate tracking with offline and online data synchronization.
Open Project
Bangla Book Recommendation System
Full-stack web platform that uses machine learning and hybrid recommendation methods for Bangla readers.
Open Project
Grocery Shopping Web App
Responsive e-commerce application with registration, product browsing, and checkout management.
Open Project
Blood Bank Management
Console-based OOP system for donor and acceptor workflows with admin-controlled records for KUET-focused use.
Open Project
Recipe Book
Team iOS application with a clean interface for browsing and exploring recipes using SwiftUI.
Open ProjectAchievements
Competitive programming, academic milestones, and campus contributions.
Problem Solving Profile
- 700+ solved problems Across Codeforces, LeetCode, and CodeChef
- Codeforces 400+ problems solved under the handle RYAD08
- LeetCode 150+ problems solved under the handle Robiul Riyadh
Recognitions
- Dean's Award Faculty of EEE, academic excellence
- SGIPC Programming Contest 8th in team contest and 11th in individual contest
- BitFest KUET Datathon 62nd position at CSE Fest 2025
Earlier Academic Achievement
- Rajshahi Division Science Olympiad 4th position in the regional competition
- Languages Bengali: native, English: proficient in reading, writing, and speaking
Contact