Professional resume of Andrew Charneski, a senior software engineer and AI architect with 20+ years of experience in AI/ML research, distributed systems, cloud infrastructure, and full-stack development.
A comprehensive walkthrough of Cognotik, an open-source AI-powered development platform that uses declarative Markdown files with YAML frontmatter to orchestrate complex workflows β from README generation and web research pipelines to self-maintaining codebases.
An exploration of Generation-Augmented Retrieval (GAR) and the Model Context Protocol (MCP), navigating the shift from traditional RAG through a unique pirate-themed narrative.
A design document for a Kotlin library implementing Constructive Real Arithmetic, focusing on exactness, lazy evaluation, and arbitrary precision for real numbers.
Project specification for a Geometric Theory Inference Engine, aiming for semantic reconstruction of point clouds via evolutionary CSG discovery and a hybrid optimization approach.
A comprehensive system architecture enabling LLMs to design, simulate, and visualize analog circuits through a Central Intermediate Representation (CIR-JSON), combining eecircuit simulation with tscircuit visualization.
A beautifully illustrated comic exploring how vector clocks reveal the honest nature of distributed systems through the meeting of a burned-out engineer and a theoretical physicist.
Comprehensive software design document for a voice-centric AI agent system enabling developers and data scientists to interact through natural language voice commands for software development, data analysis, and project management workflows.
A computational framework for generating 3D mechanical linkages like gears and kinematic couplings using voxel-based topology optimization and kinematic subtraction.
Comprehensive technical framework for simulating multiply-connected spacetime manifolds with polyhedral topology, quantum field eigenmodes, and cosmic mirage analysis to quantify size distortion effects in small universe models.
A democratic journalism platform treating readers as jury members, optimizing for relevance and decision uncertainty rather than clicks and confirmation bias.
High-performance C++ library for managing arbitrarily large bit-packed arrays using memory mapping and external sorting algorithms for permutation ring operations on billion-element datasets.
Comprehensive functional requirements specification for the BCLA Simulation Toolkit, a research platform for studying emergent computational phenomena in autonomous agent systems and constrained cellular automata.
Comprehensive analysis of AI's transformative impact on software development, examining current trends, future projections, and best practices for conscious evolution in the age of autonomous development.
Technical analysis of MindsEye's modular optimization architecture, examining its four-layer decomposition and innovative approaches to machine learning framework design.
A comprehensive framework for open-source orbital dynamics and space mission design, featuring GPU acceleration, automatic differentiation, and relativistic corrections.
A comprehensive research proposal for developing an Ontological Compiler Toolchain that systematically translates abstract conceptual frameworks into executable computational forms
A comprehensive research paper presenting MindsEye, a hybrid memory management system combining reference counting with Java's garbage collection for deep learning applications.