Assorted Projects and Assignments from my Master's Program

CSE 202 - Design and Analysis of Algorithms

• Dijkstras and Heaps
• Karatsuba Multiplication
• Dynamic Programming and Backtracking

CSE 250A - Probabilistic Reasoning and Decision-Making

• Statistical Language Modeling and Sequences
• Handwritten Digit Classification
• Expectation Maximization and Auxiliary Functions
• Recommender System
• Reinforcement Learning - Policy and Value Iteration

CSE 250B - Machine Learning

• Prototype Selection for Faster KNN Implementation
• Improved Gradient Descent Method

CSE 252A - Intro to Computer Vision

• Homography and Rendering
• Photo-Stereo
• Corner Detection and Epipolar Geometry
• Optical Flow

CSE 291 - Advanced Deep Learning

• Project: Transient fluid simulation using Transformer Architecture

ECE-228 - Statistical ML for Physical Applications

• Weather Prediction using Random Forests. Explored performance improvements through implementation of traditional linear time series analysis - Signal decomposition into trend, seasonality, and noise.
• Neural Net Backpropagation from scratch in Matlab
• Group Project: 2D Steady State Fluid Simulations with CNN's

Thesis