Projects

Frontiers in Artificial Intelligence

nnU-Net FCD-II Segmentation (Research)

Automated segmentation of FCD type II lesions in 3D FLAIR MRI using nnU-Net.

PythonPyTorchnnU-NetNumPy
  • Proposed automated axial FLAIR slice selection by peak voxel intensity (top 5 slices).
  • Trained nnU-Net with 5-fold cross-validation on MRI from 85 FCD-II subjects.
  • Published in Frontiers in Artificial Intelligence (2025).
SuperchargedNotes Platform

SuperchargedNotes

AI platform leveraging OCR to convert 5+ note formats into structured markdown.

FastAPIPostgreSQLNext.jsTypeScript
  • Built full-stack OCR platform converting 5+ note formats to markdown with 90% accuracy.
  • Created AI study tools (quizzes, flashcards, summaries) reducing prep time by 40%.
OneTimeTable Dashboard

OneTimeTable

A unified dashboard for students to manage course schedules and academic planning

FastAPIMongoDBNext.jsRedis
  • Developed student dashboard, achieving 50+ users & 35+ extension installs.
  • Automated data extraction using LLMs (95% accuracy), saving students 3 hrs/semester.
  • Improved performance with Redis caching, cutting load times by 60%.
INeedHelp@YorkU Platform

INeedHelp@YorkU

Centralized platform for student support services discovery

ReactFastAPIPostgreSQLJWT Auth
  • Built platform for 80+ university services, attracting 1000+ visits & 50+ recurring users.
  • Reduced student search time for support resources by 25%.
York University Calendar

York University Calendar Project

Diversity calendar showcasing religious and cultural events

FastAPIReactMongoDBSeleniumLLMs
  • Deployed diversity events calendar, adopted by 200+ faculty/staff.
  • Automated content generation via scraping & LLMs, reducing curation effort by 90%.