CS Undergraduate

Computer Science undergraduate at BRAC University with research interests in Natural Language Processing, Large Language Models, Vision-Language Models, and Computer Vision. I approach problems methodically, emphasizing technical writing and structured experimentation.

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Open to research internships Currently: Coursework
Abdullah Al Mazid Zomader – Computer Science undergraduate

Abdullah Al Mazid Zomader

CS Undergraduate

Building research foundations in NLP, LLMs, and multimodal AI. Focused on technical writing and systematic problem-solving as I work toward graduate studies.

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About

Bridging theoretical foundations with hands-on experimentation in AI and language models.

Professional summary

I'm a Computer Science undergraduate at BRAC University, graduating in 2027. My research interests span Natural Language Processing, Large Language Models, Vision-Language Models, and Computer Vision—areas where I'm actively building foundational knowledge through coursework and self-directed projects.

AI & Language Models

NLP, LLMs, VLMs, and multimodal AI research.

Technical writing

Clear documentation and structured communication.

Problem solving

Methodical approach with focus on fundamentals.

Skills

A categorized view with accessible progress indicators.

Certification & Credentials

Verified mastery in software development and data science through industry-leading platforms.

UX Design Decision-making with AI

Grameenphone Ltd • March 2026

Intro to Programming: Python

Kaggle • September 2025

Intro to Machine Learning

Kaggle • October 2025

Intermediate Machine Learning

Kaggle • October 2025

Research

Advancing foundational knowledge in AI through systematic study and experimentation.

Machine Learning

Exploring supervised and unsupervised learning, feature engineering, and predictive modeling.

Neural Networks

Studying deep learning architectures, optimization functions, and neural representational learning.

Natural Language Processing

Exploring transformer architectures, tokenization, and language modeling fundamentals.

LLMs & Generative AI

Investigating prompt engineering, fine-tuning, and the scaling laws of large models.

Multimodal & Vision

Studying the intersection of visual perception and language understanding in VLMs.

Projects

Contact

Email me for collaboration, internships, research opportunities, or feedback.