Helping build world-leading Advanced Manufacturing and AI capabilities with NGen Canada.
Incoming SWE Intern @ Coinbase AM
Developed a trading strategy using unsupervised learning techniques to optimize investment decisions.
Wearable AI system integrating real-time video and audio streaming with emotion and object detection analytics.
An AR environment that displays individuals' résumes next to their faces at networking events.
An AI image generator MERN app with responsive React.js design, MongoDB indexing & more.
Researched WEB3 adoption complexities, culminating in BlockFundr(BETA), a blockchain crowdfunding platform.
An SEO tool developed to summarize text & generate embeddings for key-word identification
Self-Driving car with NN (no libraries) + Genetic Algorithms, A* Pathfinding, & Dijkstra's Algorithm
A full stack social media platform with authentication, explore features and a user-friendly UI for 300+ users
(In-Progress) An autonomous vehicle using PID controllers and sensors.
Developed a robotic arm solution for precise food packaging & algorithms to optimize delivery routes
Learning About Backpropagation, Classification, Gradient_Descent, K-Means Clustering, NN from Scratch, Optimizers, Regularization, & RNNs
Compute the contrastive loss introduced by Yann LeCun et al. in the paper 'Dimensionality Reduction by Learning an Invariant Mapping.'
Developed an OCR system from scratch in Python using the k-nearest neighbors algorithm to classify images from the MNIST and Fashion-MNIST datasets
Built a Multimodal Vision Language Model in PyTorch, coding the Contrastive Learning, Vision Transformer, and multi-head attention mechanisms from scratch.
Developed Stable Diffusion from scratch in PyTorch, implementing the Variational Autoencoder (VAE), CLIP model, and UNet architecture.
