Academic Experience

I am a PhD candidate in Computer Science at the University of Central Florida, expecting to graduate in Summer 2027. My research develops trustworthy ways to evaluate AI systems, with an emphasis on benchmark contamination, private evaluation, and execution-grounded testing.

Research Experience

  • August 2024 — Present
    Graduate Research and Teaching Assistant · University of Central Florida
    Bridge-AI Lab · Advisor: Prof. Shubhra Kanti Karmaker
    • Lead research on evaluation integrity for language models, including hidden exposure, benchmark contamination, and trustworthy black-box measurement.
    • Developed the Private Evaluation Protocol and led ExITBench, an execution-based benchmark for real-world IT automation.
  • August 2021 — August 2024
    Graduate Research and Teaching Assistant · Auburn University
    Big Data Intelligence Lab · Advisor: Prof. Shubhra Kanti Karmaker
    • Studied 5,110 Infrastructure-as-Code defects and developed a taxonomy of state-reconciliation failures.
    • Worked on conversational data science, automated machine learning, efficient NLP, and transformer deployment on embedded devices.

Awards & Research Support

  • 2026 — 2027
    NSF ACCESS Computing Allocation
    Principal Investigator · 200,000 ACCESS credits for GPU computing
  • 2021 — 2024
    Woltosz Fellowship
    Auburn University

Education

  • Fall 2024 — Present
    PhD in Computer Science (expected Summer 2027)
    University of Central Florida, Orlando, Florida · Advisor: Prof. Shubhra Kanti Karmaker
  • Fall 2021 — Summer 2024
    MS in Computer Science and Software Engineering
    Auburn University, Auburn, Alabama · Advisor: Prof. Shubhra Kanti Karmaker
  • 2012 — 2017
    BSc in Computer Science and Engineering
    Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

Industry Experience

  • September 2017 — December 2020
    Senior Software Engineer · REVE Systems
    Designed scalable communication infrastructure and led engineering work on reliability, automation, and deployment pipelines.
  • March 2017 — September 2017
    Software Engineer I · Enosis Solutions
    Developed backend software solutions and data-driven tooling.

Academic Service

Reviewer: ACL Rolling Review (2023, 2025, 2026); NeurIPS (2026); Transactions on Machine Learning Research (2024, 2025); EMNLP (2023); EMNLP Workshop on Bangla Language Processing (2023).

Committees and conference service: ACL Track Committee (2023); EMNLP Track Committee (2022); ACL Conference Volunteer (2026).