About

Education

York University

Bachelor of Engineering in Software Engineering

Expected May 2027 • Toronto, ON

Experience

Software Engineering Intern

Quarkle.ai

Jul 2025 – Dec 2025

  • Designed and deployed an agentic AI system with Python FastAPI websockets for real-time retrieval; boosted knowledge retention by 85% and reduced hallucinations by 60% through custom pipelines and memory indexing
  • Optimized a Next.js frontend to handle documents up to 1M words using debouncing, diffing, and caching; cut rendering latency by 40% and improved performance by 45%, enabling seamless long-document handling
  • Built a public document-sharing system enabling authors to showcase work and collaborate; drove a 30% increase in engagement across a community of 500+ writers

Software Development Contractor

Markis Investments

Apr 2025 – Jun 2025

  • Delivered a direct booking website for a luxury resort using Next.js, PostgreSQL, Git LFS, and S3 buckets; increased sales by 40% and processed $100K revenue in the first month
  • Built a QR-based event management system providing real-time attendee tracking and analytics; deployed across 5 events with 500+ participants, reducing manual errors and bottlenecks
  • Developed guest-facing portals for facility booking, payments, and information access; improved customer experience and adoption by 150+ users within the first month

Software Developer

York University • Toronto, ON

Oct 2024 - Apr 2025

  • Engineered a data scraping pipeline aggregating from 20+ sources with validation, retries, and exception handling; ensured 98% accuracy in extracted datasets for downstream applications
  • Developed a React-based calendar surfacing cultural events across campus; adopted by 1,300+ students and faculty, strengthening accessibility and engagement

Research Fellow

Indian Institute of Technology, Roorkee • Roorkee, India

May 2024 - Jul 2024

  • Trained nnU-Net models on MRI data from 85 subjects with 5-fold cross-validation, achieving Dice score 0.52 ± 0.05 for epilepsy lesion segmentation; results published in Frontiers in Artificial Intelligence
  • Designed an automated slice selection method ranking MRI slices by voxel intensity to highlight lesion-rich regions; improved lesion detection accuracy by 30% for FCD Type II

Technical Skills

Languages

JavaPythonCJavaScriptTypeScriptHTMLCSSSQL

Frameworks

FastAPINext.jsReactNode.js

Databases

PostgreSQLMongoDBRedisVector DBs

Libraries/Tools

PyTorchNumPyPandasMatplotlibSeleniumGitDockerTailwind CSSJWT