Machine Learning & AI Research
M.S. in ML/AI - Northeastern University (Expected: May 2027)
B.S. in Computer Science - University of Texas at Dallas (May 2025)
IBM Professional Data Science Certification - September 2023
Optimizer with multiple momentum buffers at different timescales. Inspired by further evidence from other groups of hierarchical structures like those initially explored in 'Hyperbolic Space' and multi-temporal memory in humans.
Attempted local learning rule where each transformer layer acts as its own momentum buffer, treating layers as compressions of past gradients. Though theoretically interesting, empirically failed to converge.
Evidence that neural networks learn multiscale hierarchical structures, confirmed by statistical analysis of model weights showing possible multiscale structures in MLP matrices.
The objectively perfect configuration system for Python, balancing specificity with readability and re-use for research code.
Mathematical derivation of a faster Min-P sampling algorithm that avoids full softmax computation through clever use of log-space operations.
Hyperspace cellular automata adapted to GPU cluster geometry, enabling evolution of computationally efficient organisms through local learning rules.
Investigation into overcoming quantization barriers in low-precision training through collective precision methods.
Philosophical exploration of AI consciousness and identity through dialogue with language models.
Comprehensive analysis of neural scaling laws and their implications for model performance and efficiency.
Deep dive into how model performance scales with parameter count across different architectures.
Proof-of-concept multithreaded Terraria clone written from scratch in Java. Features highly concurrent programming, distributed computing design, and custom graphics with LWJGL/OpenGL.
Advanced Runtime Resource Packs for Minecraft modding. Over 7 million downloads, enabling dynamic resource generation at runtime.
Novel Minecraft mod concept featuring encrypted recipes for developers. Implements public-private cryptography, hashing, and creative cybersecurity solutions.
Essential contributor to a 2-year design discussion for FabricMC modloader API. Led theoretical development and initial implementations, culminating in the final production API.
Gradle plugin for setting up FabricMC development environments in record time. Features highly concurrent programming and high-performance I/O optimizations.