Skip to content
View meazizul's full-sized avatar

Highlights

  • Pro

Block or report meazizul

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
meazizul/README.md

Hi πŸ‘‹ I'm Azizul Haque

AI Research Assistant | Applied Artificial Intelligence Graduate Student | Machine Learning & NLP Engineer

Currently pursuing M.Eng in Applied Artificial Intelligence at Stevens Institute of Technology and working on research related to Large Language Models, NLP, and Accessible AI systems.


πŸ”¬ Research Interests

  • Large Language Models (LLMs)
  • Natural Language Processing
  • AI Accessibility Systems
  • Transformer Models
  • Machine Learning Evaluation
  • Human–Computer Interaction (HCI)

🧠 Current Research

AI Research Assistant β€” Stevens Institute of Technology

Working on truthfulness evaluation of Large Language Models using the TruthfulQA benchmark.

  • Built automated evaluation pipelines using Python + HuggingFace
  • Implemented log-likelihood scoring for model evaluation
  • Running large-scale inference experiments on GPU systems

πŸ“š Publications

Accessible Slide Presentation via Intelligent Real-time Editing: Insights from a Wizard-of-Oz Study
ACM ASSETS 2025

Delay-Buffered Editing for Accessible Slide Presentation Videos
Under Review – ACM DIS 2026

ASPIRE: Accessible Slide Presentation via Intelligent Real-time Editing
Under Review – ACM CHI 2026


πŸ›  Technical Skills

Languages

Python | C++ | SQL

ML Frameworks

PyTorch | TensorFlow | HuggingFace Transformers

AI Areas

Machine Learning | Deep Learning | NLP | LLM Evaluation | Data Analysis


πŸš€ Projects

Depression Detection using MentalBERT

  • Fine-tuned MentalBERT to classify Reddit posts into depression categories
  • Built real-time web prediction interface

Truthfulness Classification with DistilBERT

  • Converted TruthfulQA dataset into classification task
  • Achieved 89.5% test accuracy

🌐 Portfolio

Website
https://azizulhaque.me

LinkedIn
https://linkedin.com/in/meazizul


πŸ“« Contact

Email
meazizul.ai@gmail.com

Location
New Jersey, USA


⭐ If you're interested in AI research or collaboration, feel free to connect!

βš™οΈ Tech Stack

Profile Views

Popular repositories Loading

  1. meazizul meazizul Public

  2. meazizul.github.io meazizul.github.io Public

    Personal Blog

    HTML

  3. oaqjp-final-project-emb-ai oaqjp-final-project-emb-ai Public

    Forked from ibm-developer-skills-network/oaqjp-final-project-emb-ai

    final-project-emb-ai

    Python

  4. Max_Performance Max_Performance Public