Education

Academic background, degrees, and selected milestones

Starting the M.Sc in Computing Science program in September 2026, with interests in software engineering research, trustworthy AI, distributed systems, and LLM systems.
Dean's List Award - Level 2 (outstanding academic performance)

Notable Courses: Machine Learning, High Performance Database Systems, Fault Tolerant Systems, Data Structure and Algorithms, Operating Systems, Computer Security
Selected upper-division coursework demonstrating depth in core CS, systems, and AI/ML:
Algorithms & Theory • Data Structures & Algorithms I-II
• Algorithm Engineering
• Theory of Computation
Systems & Architecture • Computer Architecture (lecture + lab)
• Operating Systems (lecture + lab)
• Computer Networks (lecture + lab)
• Microprocessors, Microcontrollers & Embedded Systems (lecture + lab)
• Fault-Tolerant Systems
Software Engineering • Software Engineering
• Software Development (practicum)
• Information System Design (lecture + lab)
• Technical Writing & Presentation
Databases & Data • Database Systems (lecture + lab)
• High-Performance Database Systems
Security • Computer Security (lecture + lab)
AI & Machine Learning • Artificial Intelligence (lecture + lab)
• Machine Learning (lecture + lab)
Graphics & Visualization • Computer Graphics (lecture + lab)
Capstone • Undergraduate Project & Thesis
Grades were mostly A/A+, showing consistent performance across theory and labs.
Placed 15th in Rajshahi Board, received Talentpool Scholarship, A+ in all subjects with 96.5% marks in Physics, Chemistry, and Higher Mathematics
A+ in all subjects, received General Scholarship