Md. Faiyaz Abdullah Sayeedi

Curriculum Vitae

Last updated August 2026. A PDF version is available below.

Research Interest: Natural Language Processing, Multilingualism, Responsible AI, and Multimodal Learning.

Education

• B.Sc. in Computer Science and Engineering United International University (UIU), Dhaka, Bangladesh 2021 – 2025 GPA: 3.98/4.0  ·  Major: Data Science
  Thesis: Translation Tangles: Performance Benchmarking and Bias Detection in LLM-Based Translation Across Language Families and Domains
  Supervisors: Swakkhar Shatabda, Md. Mofijul Islam, Tasnim Mohiuddin
  Notable Courses: Machine Learning, Digital Image Processing, Data Mining, Bioinformatics, Human-Computer Interaction

Work Experience

• Research Assistant BRAC University, Dhaka, Bangladesh March 2026 – Present
  • Working on the project titled “AI-Powered Contradiction and Conflict Detection in Evolving Documents”
  • Developing Natural Language Processing (NLP) pipelines to identify logical inconsistencies and temporal conflicts across document versions or evolving documents
• Research Assistant MIRA Wing, CCDS, Independent University, Bangladesh (IUB) May 2025 – February 2026
  • Worked on the project titled “Route, Retrieve, Reflect, Repair: An Agentic Framework for Self-Improving Medical Vision-Language Reasoning for Low-Resource Languages”
  • Developed multimodal architectures to enhance clinical decision support and linguistic reasoning for medical diagnostics
• AI Intern Ontik Technology, Bangladesh March 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
• Undergraduate Teaching Assistant United International University, Bangladesh November 2023 – January 2025
  • Courses: Artificial Intelligence, Data Structure and Algorithms 2, Introduction to Computer System
  • Aided faculties in preparing the course materials
  • Counselled students to understand C, C++, Python, Machine Learning, and Deep Learning

Publications

16 peer-reviewed papers. Bold marks my name; * marks equal contribution.

Selected Projects

• MosquitoMiner

  Autonomous rover for detecting and eliminating mosquito breeding places, using a custom dataset for precise navigation and identification of breeding grounds with deep learning models.

• MoscProtec

  Website to collect and analyze data on mosquito-borne diseases and provide public support, with detection of mosquito species and breeding sites using a YOLO model.

• UIU Healthcare Management System

  Healthcare management with appointment booking, prescriptions and hospital location, using real-time GPS data to locate the nearest hospitals.

Academic Service

• Conferences & Workshops

  ACL Rolling Review (August 2026, May 2026) · *SEM 2026 · BLP Workshop @ IJCNLP-AACL 2025 · MusIML Workshop @ ICML 2025

• Journals

  Communications AI & Computing · Journal of Medical Systems · International Journal of Data Science and Analytics — all Springer Nature

• Mentoring & Teaching

  Mentor for the Peer Mentorship Program, UIU Computer Club · Instructor for the Machine Learning session (CSE 4889), Computronix Academy Spring 2024, UIU App Forum

Awards & Honors

Selected recognitions — the full list is here.

• 100% Scholarship Award for 11 out of 12 trimesters for academic excellence — United International University
• Travel Grant to Participate in ICLR 2024 — 1500 USD to present in person in Vienna, Austria
• Finalist — National Blockchain Olympiad Bangladesh
• Best Poster Award — CSE Project Show Spring 2024 (Final Year Design Project), UIU
• Champion — Python for AI and ML Competition 2024, UIU App Forum
• Champion — CSE Project Show Summer 2024, Spring 2024 and Fall 2022, UIU

Skills

Programming Languages

C, C++, Java, Python

Scripting Languages

BASH, HTML, PHP, CSS, JavaScript, SQL, LaTeX

Version Control

Git, GitHub

Hardware Platforms

ESP32, Arduino, Raspberry Pi

Machine Learning

Scikit-Learn, Matplotlib, Numpy, Pandas, Seaborn, Autoviz, spaCy, NLTK, Flair, Hugging Face Transformer, OpenCV

Deep Learning

Keras, TensorFlow, PyTorch, PyTorch-Lightning, LangChain, CrewAI

References

• Dr. Swakkhar Shatabda

  Professor of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh
  swakkhar.shatabda@bracu.ac.bd

• Md Mofijul Islam

  Tech Lead and Senior Applied Scientist, AWS GenAI, Amazon
  miislamg@amazon.com