Fourth-year @ UBC studying Computer Science & Cognitive Systems. I build production systems that sit between engineering, ML, and design.
- 🔭 Currently: Software Engineer Intern @ Mastercard — building microservices and ML pipeline deployment on payments infrastructure.
- 📄 Officially a peer-reviewed, published author — co-first author on a concept mapping study out of my ML research at BC Cancer.
- 🌷 Also: Intern Lead, Women's Leadership Network @ Mastercard · Educational Program Support (Work Learn) @ UBC Extended Learning.
- 💌 Ask me about: implementation science, healthcare AI, or my current favorite iced matcha spot.
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Towards Clinical Implementation of Artificial Intelligence in Cancer Care: Concept Mapping Analysis of Provincial Workshop Findings Xu, H.H.*, Nayyar, C.* et al. — Implementation Science Communications (2026) Co-first author · Open access · Concept mapping study on stakeholder perspectives for AI implementation in oncology 
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- 🔍 Your Search Box — Multi-modal AI search (voice, image, text) · live commercial product · TypeScript, Next.js
- 🏥 Concept Mapping Toolkit — Open-source healthcare research tooling, adopted at BC Cancer · Python, NetworkX, FastAPI
- 🎮 VR Recommendation System — Hybrid ML recommender, +20–25% F1 score · TensorFlow, Flask
- 📊 CourseInsights — Deployed survey-to-PDF automation, actively used @ UBC · Flask, Pandas
- ♿ Webability — Live WCAG/ADA accessibility widget · JavaScript
📩 chhavi09nayyar@gmail.com | 🌐 cnayyar.com | 🐙 github.com/chhaviiiii | 💼 linkedin.com/in/cnayyar