CursorLord Systems
I am a Systems Diagnostics Engineer & Builder of Air-Gapped, Deterministic Diagnostic Tools. I build specialized engines that make complex, opaque systems transparent, predictable, and easy to isolate when things break
As modern software and AI-assisted workflows scale in complexity, production failures are rarely caused by basic syntax errors. They stem from broken control-plane logic, unhandled race conditions, silent timeouts, and runtime behavior that drifts away from the specification. Traditional debugging tools often fail or demand risky external data exposures. I build the exact opposite: zero-dependency, client-side diagnostic systems that isolate faults instantly and securely.
Through years of fighting complex production incidents, I formulated the PBRCIM framework (Pattern-Based Root Cause Isolation Model)- a deterministic lens designed to trace failure modes and separate misleading red-herring symptoms from true root causes. Whether it's tracing Kubernetes control-plane admission bottlenecks or evaluating logic breakdowns, my work focuses on systems that operate with absolute predictability.
This portfolio is not a playground of basic script demos or generic tutorials. The few sample tools hosted here were built from scratch to solve real-world technical problems and showcase a rigorous approach to software diagnostics, reliability engineering, and developer tooling.
I developed the PBRCIM Evaluation Dataset for LLM Code Reasoners to test deterministic software diagnosis against complex runtime failures. The dataset contains multi-stage failures and intent-divergence scenarios used to evaluate how well LLMs and developer tools reason through software problems, maintain diagnostic consistency, and identify the underlying cause. It also supports evaluation workflows with tools such as NotebookLM. The foundational diagnostic tools I built - specifically the Diagnosis Engine and the PBRCIM Logic-Map, operationalize the core deterministic mechanics of my framework for real-world fault isolation.
[ci-pipeline-runner] Executing script: npm run build:production
npm ERR! code ELIFECYCLE
npm ERR! errno 1
npm ERR! auth-dashboard@2.4.1 build:production: `vite build --mode production`
npm ERR! Exit status 1
npm ERR! Failed at the auth-dashboard@2.4.1 build:production script.
npm ERR! This is probably not a problem with npm. There is likely additional logging output above.
Command failed with exit code 1💡 Evaluation Bench: Copy the raw preview log above and paste it directly into my Diagnosis Engine to instantly evaluate the framework's deterministic parsing performance.
The framework I created to trace invisible bugs and resolve logic breakdowns. PBRCIM is a pattern-based lens for isolating faults when standard debugging methods fail.
Updated Regularly
My work sits at the intersection of systems reliability, deterministic telemetry parsing, and offline-first tooling. Rather than relying on fuzzy heuristics or cloud-dependent APIs, I engineer specialized systems across four primary domains:
Isolating runtime failures, admission bottlenecks, and state anomalies across distributed container environments without external API calls or data exposure.
Replacing fragile regex with structured, rule-based log parsing models powered by the PBRCIM framework for precise root-cause identification.
Building zero-trust, local-first offline diagnostic utilities and Nuitka-compiled binaries that execute locally for secure enterprise payload inspection.
Structuring rigorous failure-mode datasets, intent-divergence test packs, and logic maps to evaluate code reasoners and NotebookLM workflows.