I'm a final year Computer Science specialist at the University of Toronto.
I am absolutely driven by impact. In high school, I tried to make tech feel less intimidating and more inclusive through my book. At UofT, I'm a Computer Science Specialist in the ASIP co-op program where I focus on AI, software design, and building systems that actually help people.
Built on-device ML systems with CoreML and PyTorch to improve Wi-Fi reliability for 2B+ iPhones. Created a Swift evaluation app to visualize live predictions, cutting validation cycles by 40% and shaping feature roadmaps with data-driven insights.
Designed an AutoML full-stack web app so teammates could clean, visualize, and train models without touching code, reducing manual work by 40%. Partnered with 15 engineers and 3 PMs to ship features that boosted decision-making efficiency by 35%.
Automated data processing for 350+ authors with Python, Pandas, and Flask, saving 80+ hours each year. I also reimagined document conversion workflows for eBook deployment, eliminating manual formatting and freeing up 15 hours every week.
Independently authored a bestselling Python book with 5000+ copies sold, 150+ Amazon reviews (4.2-star average), and press coverage in Hindustan Times and IANS.
Led the algorithm sub-team building rule-based and CNN models that predict wear-time within 2 minutes of accuracy. Deployed the pipeline into SickKids' workflow to help researchers process patient data 9x faster.
Built a scalable Flask platform with instant feedback loops and 10+ coding challenges to make practice approachable for new programmers.
Created a Java-based app to reduce information overload with API-driven news delivery & localization.
Designed & implemented a Python-based application to predict diseases from patient symptoms using a dataset of over 50,000 medical records.
Guided weekly tutorials and office hours for 400+ students, helping them navigate data structures, algorithmic thinking, and software design with confidence.
Ran advisory sessions for 500+ students, pairing them with resources, refining portfolios, and growing internship placements by 30% with GenAI tooling.
Led academic programming for 5000+ members and launched a GenAI prompt engineering workshop series that brought 200+ students into hands-on ML projects.