CS Graduate @UIU | Research Assistant @CCDS, IUB
Hello 👋, I am Md. Faiyaz Abdullah Sayeedi, a recent graduate in Bachelor of Science in Computer Science and Engineering at United International University (UIU), Bangladesh. With a strong academic record, I have served as a Grader and Undergraduate Teaching Assistant at UIU, supporting students and faculty in foundational computing courses.
I am currently a Research Assistant at the MIRA Wing, Center for Cognitive and Decision Sciences (CCDS), Independent University, Bangladesh (IUB). Previously, I served as an AI Intern at Ontik Technology. I have experience in both academia and industry, allowing me to bridge theoretical research with practical implementation. My research interests include, but are not limited to, Computer Vision, Large Language Models, Responsible AI, Human-Centered AI, and Multimodal Machine Learning, with a focus on creating impactful, real-world applications.
I have published several peer-reviewed papers in reputable international workshops, conferences, and journals such as ICLR (Tiny Papers Track), IEEE TENSYMP, IEEE TENCON, NeurIPS Workshop (MusIML), IEEE Access, and Data in Brief (Elsevier). I have collaborated with researchers from globally recognized institutions, including Charles Darwin University, Johannes Kepler Universität Linz, and the University of Alberta. Check out my Google Scholar profile to access my research papers.
Research Interest
Computer Vision (CV)
Large Language Model (LLM)
Responsible AI
Human-Centered AI
Multimodal Machine Learning
Educational Qualification
BACHELOR OF SCIENCE, COMPUTER SCIENCE & ENGINEERING
United International University, Dhaka, Bangladesh
Year: 2021 - 2025
Grade: 3.98/4.00
Credit Complete: 137/137
Major: Data Science
Notable courses: Machine Learning, Digital Image Processing, Data Mining, Bioinformatics, Human-Computer Interaction
HIGHER SECONDARY CERTIFICATE (H.S.C)
Ibne Taimiya School and College, Cumilla, Bangladesh
GPA: 5.00/5.00
Major: Science
Notable courses: Higher Mathematics, Zoology, Botany
Experience
May 2025 - Present
Working on the project titled "Detection-Guided Kidney Abnormality Segmentation"
Mar 2025 - May 2025
Worked on real-world problems involving Large Language Models, Retrieval-Augmented Generation (RAG), and Agentic AI.
Handled international clients with sincerity, ensuring their highest satisfaction.
Nov 2023 - Jan 2025
Courses: Artificial Intelligence, Data Structure and Algorithms - 2, Introduction to Computer Systems
Aided faculties in preparing the course materials.
Counselled students to understand C, C++, and Python programming languages. Helped students understand the concepts of Machine Learning and Deep Learning
Oct 2022 - Nov 2023
Courses: Electric Circuit, Fundamental Calculus
Aided faculties in preparing the grade sheets.
Skills
Programming Languages: C, C++, Java, Python
Scripting Languages: BASH, HTML, PHP, CSS, Javascript, SQL, Latex
Machine Learning Frameworks: Scikit-Learn, Seaborn, Matplotlib, Autoviz, Numpy, Pandas, spaCy, NLTK, OpenCV, Langchain
Deep Learning Frameworks: Keras, Tensorflow, PyTorch, PyTorch Lighting, CrewAI
Honor & Award
100% Scholarship award for academic excellence from United International University
Champion in CSE Project Show Fall 2022 (Course: Advanced Object-Oriented Programming) - Organized by United International University
Second Runner Up in CSE Project Show Spring 2023 (Course: Database Management System) - Organized by United International University
Champion in Python for AI and ML Competition 2024 – Organized by UIU App Forum, United International University
Second Runner Up in CSE Project Show Fall 2023 (Course: System Design and Analysis) - Organized by United International University
Champion in CSE Project Show Summer 2024 (Course: Microprocessor and Microcontroller Laboratory) - Organized by United International University
Champion in CSE Project Show Spring 2024 (Course: Software Engineering Laboratory) - Organized by United International University
Champion in CSE Project Show Spring 2024 (Course: Final Year Design Project) - Organized by United International University
Team Decipher has proudly reached the top 30 in the National Blockchain Olympiad Bangladesh under my leadership
Rewarded up to 1500 USD for support to attend the International Conference on Learning Representations (ICLR 2024) in person to present my research paper in Vienna, Austria
Services
Academic Reviewer for the Muslims in ML (MusIML) Workshop, co-located with the International Conference on Machine Learning (ICML 2025)
Session on Machine Learning (CSE 4889) for Computronix Academy Spring 2024 arranged by UIU App Forum