Building practical software, multimodal AI models, and real-time embedded systems.
Computer Science & Engineering undergraduate at BRAC University in Dhaka. I design and implement machine learning architectures, web backends, and edge computing solutions - focusing on clean engineering, empirical benchmark evaluation, and production reliability.
01 / ABOUT
I enjoy taking technical problems through the full engineering lifecycle: from mathematical formulation and architectural design to working implementation and empirical benchmark evaluation.
My core technical work sits at the intersection of AI/Machine Learning (Graph Neural Networks, multimodal cross-attention, embedded vision) and Full-Stack Software Engineering (React, Node.js, Express, MongoDB, and PostgreSQL).
I am also developing an active interest in Data Science - focusing on robust data pipelines, statistical splits, and reproducible evaluation metrics rather than superficial buzzwords.
02 / SELECTED WORK
Technical case studies highlighting machine learning architectures, embedded vision systems, and full-stack applications.
03 / TECHNICAL SKILLS
Tools, frameworks, and foundational systems I use to build, experiment, and evaluate software.
04 / EDUCATION
Undergraduate Computer Science & Engineering degree and coursework foundations.
BRAC University, Dhaka, Bangladesh
Major in Computer Science & Engineering
Active Undergraduate Thesis on Real-Time Embedded Vision (SSD-MobileNetV2, FPN, NVIDIA Jetson Nano, STM32 F446RE). Focused on core systems, applied machine learning, and software architecture.
05 / ACHIEVEMENTS
Milestones and international recognitions earned.
Bronze Award
06 / CONTACT
Interested in collaborating, discussing my research, or exploring software engineering / AI internships? Reach out directly.
I am actively exploring early-career software engineering, AI/ML, and data engineering opportunities where I can contribute to serious systems and continue learning from strong teams.