Zahidul Haque Alvi

2023-Now
William & Mary – Ph.D. in Computer Science.
- GPA: 3.92 (4.0 scale).
- Advisor: Dr. Antonio Mastropaolo.
- Research focus on AI in Software Engineering.
- Key Courses: Software Maintenance/Evolution, Deep Learning, Autonomous Driving & Connected Mobility, Deep Transfer Learning, Data Mining & Decision Making, Human Centered Computing, AI for Software Engineering, Systems for Neural Networks.
2016-21
Sylhet Engineering College – B.S. in Computer Science & Engineering.
- GPA: 3.46 (4.0 scale).
- Key Courses: Structured Programming, Data Structures & Algorithms, Object-Oriented Programming, Database Systems, Operating Systems, Machine Learning.

2022
Software Engineer (Machine Learning) at Graaho.
- Developed a financial machine learning application on credit risk by cleaning datasets, testing with pytest, and baseline modeling.
2021-22
Research Engineer (Machine Learning) at Mayalogy.
- Developed MayaNERC: A pipeline to biomedical NER from patient label text that can identify 17 entities and validate 111 diseases across five major health categories.
- Developed Auto Tag, Group Referrer, and Pakistani Spam Filter with Macro F1 scores of 85%, 89%, and 88% respectively.
- Led an AI annotation team of 20 engineers and 15 psychologists for developing deep learning datasets.

Programming: Python, C++, C, SQL, Bash
LLM & Model Adaptation: Hugging Face Transformers, PEFT (LoRA/QLoRA/Adapters), Multi-task Learning, RAG, Quantized Fine-Tuning (4/8-bit), vLLM
Model Training & Systems: PyTorch, TensorFlow, Scikit-learn, Multi-GPU Training, HPC/Slurm, Docker, Linux
Evaluation & Analysis: pass@k, BLEU, ROUGE, CodeBLEU, Static Analysis, Statistical Testing (Wilcoxon, Cliff's Delta)

2026
Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks
- Md. Zahidul Haque, Saima Afrin, Antonio Mastropaolo
- Submitted to TOSEM, Jan 2026
2025
A Systematic Literature Review of Parameter-Efficient Fine-Tuning for Large Code Models
- Saima Afrin^*, Md. Zahidul Haque^*, Antonio Mastropaolo
- ^*Equal contribution
- TOSEM, Oct 2025
2023
B-NER: A Novel Bangla Named Entity Recognition Dataset with Largest Entities and Its Baseline Evaluation
- Md. Zahidul Haque, Sakib Zaman, Jillur Rahman Saurav, Summit Haque, Md. Saiful Islam, Ruhul Amin
- IEEE Access, April 2023
2022
CID: Cow Images Dataset for Regression and Classification
- Mobasshir Bhuiya Shagor, Md. Zahidul Haque Alvi, Khandaker Tabin Hasan
- ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements

2022
DL Sprint - BUET CSE Fest 2022
- Bengali Automatic Speech Recognition Competition
2022
Robi Datathon - 2.0
- Pre-Assessment on tabular data

CV