Category: Project
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Bayesian Neural Network Treasure Hunt Predictor
This project addresses the complex geospatial modeling challenge presented by Project Skydrop, a real-world treasure hunt requiring the discovery of a hidden prize using clues. By leveraging data clues taken from the hidden location and conditioning global context from satellites, we reason about the relative likelihood of the treasure’s position across a shrinking search grid.…
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Distributed Cloud Computing for Machine Learning
The goal of this project is to understand how modern deep learning frameworks scale training across multiple devices. Rather than treating distributed training as a black box, this project focuses on the underlying principles that make large-scale learning possible, such as parallelism, communication, and synchronization. To explore these ideas in practice, I implement a custom…
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Neural Network Path-traced Anti-aliasing and Noise Reduction
Rendering realistic images is always a balance between accuracy and speed. If you’ve ever played a video game after seeing a rendered cinematic trailer and left less than impressed, you’ve seen this problem firsthand. This project is about tackling one of the big bottlenecks: getting clean, sharp images from path tracing without paying the huge…
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