I'm a 16-year-old builder fascinated by how things work and always obsessed with the small details. Currently learning about systems theory and generative AI.
Deep learning project using a pre-trained CNN in Caffe to colorize images by treating it as a classification task in the LAB color space, improving accuracy over traditional methods.
A neural network implemented from scratch using NumPy without any ML frameworks, exploring the underlying math and matrix calculus, and applied to classify digits from the MNIST dataset.
Implementing MNIST Classification with NumPy and Matrix Calculus
Our electric grid is outdated, and not enough people are talking about it
Colorizing Grayscale Images Using Caffe and Deep Learning Models
Exploring Denoising Diffusion Probabilistic Models (DDPMs)
Developed a proposal for an acceleration framework that optimizes ONNX model deployment on hardware, reducing inference costs by up to 40%, and potentially saving $300M annually.
Developed a proposal for an internal communications software, Axonify and FIKA, projected to increase global revenue by $13.5M at IKEA.
Pulse oximeters are 3x more likely to give falsely high readings for people with darker skin, contributing to healthcare disparities. Plasmonic materials can improve accuracy by its property of scattering light to penetrate the skin. Best Overall @TKS Toronto Hackathon
Data storage costs have surged by 205% over the past five years. DNA storage is a promising energy storage solution, as it is less expensive, more energy-efficient and longer lasting. Top 5 @TKS Global Hackathon