Master's project: Reliability Estimation in Series Systems
I presented my master’s project in October 2023. It was titled ‘Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data’.
Research Engineer & Computer Scientist specializing in Machine Learning, Statistical Computing, and Open Source Development
I presented my master’s project in October 2023. It was titled ‘Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data’.
In a near-future AI research lab, a team of scientists develops SIGMA—an artificial …
C++20 library for compositional online data reductions
C++ library for algebraic modeling of random processes and stochastic elements
Mathematically elegant C++ library for algebraic text processing and compositional parsing
Modern C++20 header-only library for algebraic hash function composition with elegant DSL
Dynamic algorithmic expression trees for Python
Command-line bookmark manager with advanced search and analytics
Plugin-based system for managing AI conversations from multiple providers
A virtual POSIX-compliant filesystem implementation with content-addressable DAG structure.
Composable tools ecosystem for manipulating nested data structures
Smart ebook library manager with MCP integration
Production-ready fuzzy logic inference engine for approximate reasoning
Algebraic operations and transformations on JSON data
Check out the (early) project and source code on GitHub.
This paper introduces a methodology for generating high-quality, diverse training data for Language Models (LMs) in complex …
Gave a talk for the St. Louis Unix Users Group (SLUUG) about Large Language Models (LLMs) on Linux titled ‘Demystifying Large Language Models (LLMs) on Linux: From Theory to Application’.
I presented my master’s project in October 2023. It was titled ‘Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data’.