UNICEF Youth Ambassador
As a UNICEF Youth Ambassador, I help shape global conversations on AI and children’s rights—from the Government of Scotland’s AI and Children’s Rights initiative to UNICEF’s global policy work.
Engineer · Researcher · Innovator
Currently building transformer-based recommendation models at Shopify. Recognized as one of Canada’s Top 100 Most Powerful Women and a Rising Star in AI by Women in AI North America. I’m always tinkering with AI systems & software solutions from language and world models to inference systems that pushes what’s possible in healthcare, climate, and beyond.
Here’s where I’ve spent my time building ML products, shipping real software, and learning what impact looks like at scale.
The communities and councils where I build, advocate, and reimagine how technology can serve people.
As a UNICEF Youth Ambassador, I help shape global conversations on AI and children’s rights—from the Government of Scotland’s AI and Children’s Rights initiative to UNICEF’s global policy work.
At the World Economic Forum’s Global AI Council, I contribute to discussions on ethical and inclusive AI. I also judged the Smart Toy Awards alongside will.i.am, spotlighting safe, creative AI products for kids.
Forbes-recognized nonprofit with a mission of spreading hope to vulnerable populations! Delivered over 5,000 HopeBags for kids in care and 2,000 HopeCards to seniors in long-term care.
Mentoring women and underrepresented students, hosting Women in Engineering podcast conversations, and serving as a Dell Girls in Engineering Ambassador championing equity in STEM.
Explorations at the intersection of machine learning, product design, and full-stack!
Built with support from Microsoft; deep learning model trained on 2M+ social media posts to detect suicidal ideation, deployed in beta with 2,000 users.
Built the full-stack platform for job matching leveraging chain-of-thought reasoning.
Designed a multi-agent system that ingests regional climate data and autonomously recommends sustainability action.
Fine-tuned LLaMA using LoRA, pruning, and efficient attention techniques to optimize inference performance.
Using neural networks to detect sentiment from brainwave signals. Check out my article here.
C++ powered wearable that detects tremors and contracts in real time to stabilize movement.
A glimpse into the recognition, conversations, and impact that have shaped my journey.