This section showcases professional work, research projects, and technical contributions. It includes independent research and open source projects that explore AI/ML systems and a variety of other topics. Most of this content is refreshed using AI, and the original work is available on my blog. View my full resume here.
Professional resume of Andrew Charneski, a senior software engineer and AI architect with 20+ years of experience in ...
A comprehensive walkthrough of Cognotik, an open-source AI-powered development platform that uses declarative Markdow...
An in-depth analysis of the actor pattern in AI interaction architectures, exploring computational boundaries and int...
A novel cognitive planning architecture implementing multiple distinct planning strategies within a unified framework...
Technical analysis of MindsEye's modular optimization architecture, examining its four-layer decomposition and innova...
An in-depth analysis of MindsEye's sophisticated reference counting approach for GPU memory management in Java ML fra...
Analysis of the overlooked MindsEye deep learning framework and its implications for training data bias in AI systems
A comprehensive framework for automated prompt optimization using genetic algorithms, enabling systematic improvement...
Novel optimization algorithm hybridizing L-BFGS with gradient descent through quadratic interpolation and magnitude-b...
A novel optimization algorithm that improves deep neural network training by decomposing gradients into layer-wise co...
Novel technique for generating mathematically symmetric textures using neural networks with geometric constraints, ex...
Comprehensive software framework for implementing trust region methods in neural network optimization with Java Minds...
A comprehensive methodology for implementing scalable 2D convolution layers in neural networks, addressing GPU memory...
A novel approach to compressing large-scale n-gram language models using hierarchical structural expectations
Novel extension to decision tree methodology that models joint probability distributions using cross-entropy optimiza...
A comprehensive research paper presenting MindsEye, a hybrid memory management system combining reference counting wi...
Explore alternative loss functions for regression beyond least-squares, including zero-loss zones, robust methods, an...
A novel distributed software transactional memory platform providing ACID guarantees across clusters through REST-fri...
