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Graph Simulator lets you build and test network configurations with node redundancy and failure scenarios, providing insights into stability and necessary improvements. It logs disconnections and allows for multi-instance simulations to find optimal reliability.
Conducted in Python, this analysis examines the internal consistency (using Kuder-Richardson Formula 20 [KR-20]), inter-rater reliability (using Intraclass Correlation Coefficient [ICC] and Cohen's Kappa), item difficulty and discrimination indices, and the relationship between multiple-choice and essay sections for mixed-format achievement tests.
Manual testing of a Productivity Suite application, validating core features for task management, collaboration, and reporting to ensure accuracy, usability, and reliability.
Production-style Databricks Lakehouse Medallion Pipeline using PySpark, Delta Lake, CDC, SCD2, Data Quality, Reliability Testing, Monitoring and Performance Tuning.
Python API Test Automation and Reliability Framework with pytest, YAML/JSON test definitions, REST API testing, PostgreSQL validation, failure classification, defect reports, Docker Compose, and GitHub Actions CI.
Portable, content-addressed reliability evidence for LLM systems. Capture how a model behaves under perturbation; preserve, verify, and diff the evidence across model changes.
Public research artifacts, evaluation frameworks, prototype workflows, and technical documentation for LLM reliability, structured analysis, and applied AI systems.