// Curriculum Vitae

CV

Academic and industry trajectory — Queen's PhD, BAM Lab, Pfizer Canada, EvenUp Law, Silicon Orchard. Full PDF available.
01 · Education
In progress
Ph.D. in Computing
Queen's University · School of Computing
Focus: XAI in Vision and NLP.
Conferred
M.Sc. in Cybersecurity
Queen's University · School of Computing
Thesis: Passive Liveness Detection using Depth and rPPG for Face Presentation Attack Detection.
02 · Research
Sep 2022
→ Present
research
Computing Graduate Research Fellow
BAM Lab · Queen's School of Computing
  • Cross-affiliation with Faculty of Health Sciences (Prof. Zulkernine, Dr. Cofie) — automated EPA evaluation from assessor notes.
  • Cross-affiliation with School of Rehabilitation Therapy (Prof. Zulkernine, Assoc. Prof. Fayed) — domain-specific BERT literature filtration (95% specificity, 8,000 RCT articles).
  • Contributed to grant writeup (under review).
Oct 2022
→ Feb 2023
research
ML Research Intern · MITACS Accelerate
Pfizer Canada
  • Extracted, transformed and analyzed unstructured EHRs (Pandas, MySQL, NumPy, sklearn, seaborn) to model Alzheimer's patient cohorts.
  • k-means clustering & logistic regression for clinical-characteristics prediction.
  • Contributed to paper accepted in Journal of Primary Care & Community Health (2025).
03 · Industry
Sep 2025
→ Dec 2025
industry
Associate Machine Learning Engineer · Intern
EvenUp Law (US)
  • Explored GEPA — evolutionary prompt optimization — and measured its effectiveness as an alternative to manual prompt-tuning.
  • Built firmwide relevance dataset with LLM-as-judge for evaluation & retrieval-metric monitoring (P@k, R@k, NDCG@k).
  • Implemented cross-encoder, listwise, and setwise reranking — improved retrieval metrics across the stack.
Jan 2024
→ Present
industry
Front-end Developer
Smith School of ECE · Queen's University
  • Built a visualization research tool for streaming PID-controller data (Python Socket IO + HTML5 + CSS3 + D3).
  • Tool documented in paper accepted to NFM 2025.
Aug 2019
→ Jul 2022
industry
Machine Learning Engineer
Silicon Orchard Ltd · Dhaka, Bangladesh
  • Internal HR data analytics tool based on BERT.
  • Stylometric authorship attribution algorithm.
  • Deep reinforcement-learning recommender systems.
  • Speech recognition for smart home systems.
04 · Teaching
Jan 2023
→ Present
teaching
Graduate Teaching Assistant
School of Computing · Queen's University
  • Multiple CS courses — marking, proctoring, conducting lab sessions, office hours.
05 · Service & Volunteering
Jan 2025 → Aug 2025
COMPSA Liaison Officer
Graduate Computing Society · Queen's
Sep 2024 → Present
Vice President
Queen's Bangladeshi Student Association
06 · Certifications
DeepLearning.AI
Deep Learning Specialization
DeepLearning.AI
TensorFlow in Practice