Zubair Faruqui

Graduate Teaching Assistant

Pursuing Ph.D. in Computer Science, advised by Dr. Bo Fang.

Graduate Teaching Assistant

• Independently developed and managed a large-scale Python codebase for Computer Vision, Generative AI, and Explainable ML research; completed a Master's thesis and 2 manuscripts, with 2 additional papers in preparation.
• Technical instruction and code mentorship for core CS courses, including Data Structures and Database Systems.

Senior Software Engineer

• Formulated high-level architectural decisions and led code reviews remotely to ensure system robustness.

Senior Software Engineer (Associate)

• Developed features for a React/Spring economic analytics dashboard aggregating financial data across a distributed microservices network, aligning daily with 4 global teams.
• Engineered high-throughput, non-blocking REST APIs using Java Spring WebFlux, eliminating thread-starvation and optimizing concurrent request handling efficiency.

Senior Software Engineer

• Reduced hierarchical data validation time by 90% using optimized DFS and cycle-detection algorithms.
• Built and improved performance for an Accounts & Role Management System using Google Closure and Java Spring.
• Developed a user activity logging & analytics system with AWS Kinesis Data Firehose, Glue, Athena, and Angular.
• Solely built a Business Unit Management System with optimized search, filtering, and full-stack data validation.
• Developed and maintained core modules for the Expense Request and Report System, with external integrations.

The University of Texas at Arlington, USA

Missouri State University, USA — GPA: 4.0/4.0

Graduate Certificate in Data Science (earned simultaneously with MS).

Thesis: Learning With Explanations: Explanation-Aware Training for Interpretable Medical Imaging Models

Bangladesh University of Engineering and Technology

“Explainability of CNN Based Classification Models for Acoustic Signals”
IEEE ICTAI, 2025

“Explanation-Aware Learning for Enhanced Interpretability in Biomedical Imaging”
JBHI (in review)

“Learning With Explanations: Explanation-Aware Training for Interpretable Medical Imaging Models”
Master's Thesis, Missouri State University, 2026

• 31st place (2015) and 41st place (2014) — ACM-ICPC Asia Dhaka Regional Contest.
• Medalist — Bangladesh Regional and National Math Olympiads, and Informatics Olympiads.
• Trainer, problem-setter at Bangladesh Regional Math Olympiad, 2014.
• Best Information System Design Award — BUET undergraduate project, 2015.
• Graduate Thesis Funding Award — Missouri State University, 2025.