CV

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.

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.

Software Engineer (Machine Learning) at Graaho.

• Developed a financial machine learning application on credit risk by cleaning datasets, testing with pytest, and baseline modeling.

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.

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

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

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

Teaching Assistant at William & Mary

• Fall 2025: CSCI 100 (Prompt Engineering) - Grading | Dr. Antonio Mastropaolo
• Spring 2025: CSCI 312 (Principles of Programming Languages) - Grading | Dr. Martin White
• Fall 2024: CSCI 141-03 (Introduction to Programming) - Grading and Lab Instruction (Labs 3 & 13) | Dr. Matthew Chapman
• Spring 2024: CSCI 312 (Principles of Programming Languages) - Grading | Dr. Robert Michael Lewis
• Fall 2023: CSCI 312 (Principles of Programming Languages) - Grading | Dr. Tim Davis

Cisco Certified Network Associate

DL Sprint - BUET CSE Fest 2022

• Bengali Automatic Speech Recognition Competition

Robi Datathon - 2.0

• Pre-Assessment on tabular data