Curriculum vitae

CV

Education, research, industry, teaching, service, and technical experience.

Education

PhD in Computing

Queen's University · School of Computing

Research focus: medical vision-language models, long-tailed learning, and interpretable AI, building on XAI in vision and NLP.

MSc in Cybersecurity

Queen's University · School of Computing

Thesis: Passive Liveness Detection using Depth and rPPG for Face Presentation Attack Detection.

Research

Computing Graduate Research Fellow

BAM Lab · Queen's School of Computing
  • Cross-affiliation with the Faculty of Health Sciences (Prof. Zulkernine, Dr. Cofie): automated EPA evaluation from assessor notes.
  • Cross-affiliation with the School of Rehabilitation Therapy (Prof. Zulkernine, Assoc. Prof. Fayed): domain-specific BERT literature filtration across 8,000 RCT articles, reported at 95% specificity.
  • Contributed to grant preparation.

ML Research Intern · MITACS Accelerate

Pfizer Canada
  • Extracted, transformed, and analyzed unstructured EHRs using Pandas, MySQL, NumPy, scikit-learn, and seaborn to model Alzheimer's patient cohorts.
  • Used k-means clustering and logistic regression for clinical-characteristics analysis.
  • Contributed to a paper accepted in the Journal of Primary Care & Community Health (2025).

Industry & research software

Associate Machine Learning Engineer · Intern

EvenUp Law (US)
  • Explored GEPA evolutionary prompt optimization as an alternative to manual prompt tuning.
  • Built a firmwide relevance dataset with LLM-as-judge evaluation and monitored P@k, R@k, and NDCG@k.
  • Implemented cross-encoder, listwise, and setwise reranking to improve retrieval metrics.

Front-end Developer

Smith School of ECE · Queen's University
  • Built visualization software for streaming PID-controller data using Python Socket.IO, HTML, CSS, and D3.
  • Tool documented in a paper accepted to NFM 2025.

Machine Learning Engineer

Silicon Orchard Ltd · Dhaka, Bangladesh
  • Built an internal HR data analytics tool based on BERT.
  • Developed a stylometric authorship attribution algorithm.
  • Worked on deep reinforcement-learning recommender systems and speech recognition for smart-home systems.

Teaching

Graduate Teaching Assistant

School of Computing · Queen's University

Marking, proctoring, lab sessions, and office hours across multiple computer-science courses.

Teaching experience →

Service & volunteering

COMPSA Liaison Officer

Graduate Computing Society · Queen's University

Vice President

Queen's Bangladeshi Student Association

Certifications

Deep Learning Specialization

TensorFlow in Practice