» UTEA Research Internship (Professor Steve Mann's Lab)
May - August 2014 | Toronto, Ontario
- Designed and implemented systems to detect Veillance (the sight-fields of cameras) for desktop and mobile platforms, using intelligent image processing in OpenCV
- Independently created Android apps to show the concepts of Actional Fitness (based on integrations as opposed to differentiations), using the gyroscope to track and display motion with intuitive visuals, graphs, and log data
- Selected by the Professor to visit Meta, and developed an augmented reality finger-painting app in just one week, earning the CFO's praise
Projects
- Visualizing Veillance - C/C++ | OpenCV | OpenGL | Java
- Actional Fitness App - Java
- Finger Painting App - C# | Unity3D
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