Academics

Projects by Course

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The Snake Game in C Low-Level Programming

Built a playable Snake engine in C. Managed game state, rendering, and user input on a terminal interface.

Demo · Spec
RISC-V CPU (Logisim) Hardware / Architecture

Built a fully functional RISC-V CPU supporting all 7 instruction types; verified with custom test benches.

Demo · Spec
RISC-V MNIST Handwritten Digit Classifier ML Systems

Feedforward neural net with matrix multiply, ReLU, argmax in RISC-V.

Demo · Spec
Convolutions for Video Processing Parallel Processing

Implemented 2D convolutions, then accelerated with AVX2 intrinsics (SIMD), OpenMP threading, and an Open MPI coordinator.

Demo · Spec

Perspectives & The Dolly Zoom Introductory

Exploring how focal length, perspective, and camera position shape images.

Write-Up
Images of the Russian Empire Image Processing

Digitally reconstructed and color-corrected glass plate photographs from the Prokudin-Gorskii collection.

Write-Up · Demo
Filters & Frequencies in Images Image Processing

Explored image processing by treating images as functions: implemented filtering, sharpening, hybrid images, and frequency-based blending.

Write-Up · Demo
Auto-Stitching Mosaics Image Processing

Built a full panorama stitching pipeline with feature detection, descriptor matching, RANSAC homography estimation, and multi-band blending.

Write-Up · Demo
NeRF Reconstruction Deep Learning

Implemented a Neural Radiance Field from scratch, training an MLP to learn volumetric density and color for 360-view synthesis.

Write-Up · Demo
Diffusion Models & Flow Matching Deep Learning

Built diffusion sampling loops, CFG-guided editing, inpainting, and visual illusions, then trained a UNet via flow matching for MNIST generation.

Write-Up · Demo

Pac-Man Agents Graph Search

Built DFS, BFS, UCS and A* search agents with custom heuristics to guide Pac-Man through mazes efficiently.

Demo
Multi-Agent Pac-Man Adversarial Search

Implemented Minimax, Alpha-Beta pruning, and Expectimax agents for Pac-Man with stochastic ghost models.

Demo
RL Pac-Man Reinforcement Learning

Implemented Q-learning and policy gradient methods to train Pac-Man agents.

Demo
Ghostbusters Inference Probabilistic AI

Built exact and particle-filter inference for tracking hidden ghosts using Bayes Nets and HMM-style time-elapse models.

Demo
End-to-End Neural Network Design Deep Learning

Built neural networks and attention modules in PyTorch for digit classification, language identification, and GPT-style generation.

Demo