Selected engineering work

Systems, Automation and Evidence-led Case Studies

I build and improve operational software, data platforms, automation workflows, and infrastructure tooling. These case studies separate public evidence from private implementation details and state proof limits directly.

Featured work

Four representative systems

Each case study covers the problem, my role, key decisions, outcomes, and what can be verified publicly.

TraceHawk v0.10.0 incident investigation workspace

Public source and verification

TraceHawk — Security Log Analyzer

Problem: Security investigations need explainable detection and durable evidence without requiring a full enterprise SIEM.

My role: I designed and built the local-first investigation workflow, API, interface, rules, reports, and release verification.

Outcome: The public v0.10.0 system combines deterministic detection, multi-source cases, line-level evidence, bounded monitoring, and redactable reports. It is a single-replica portfolio system, not a production SOC platform.

PythonFastAPIReactDevSecOps

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Private project

Optical Cable Web GIS Platform

Problem: Planning data and geometry workflows needed one consistent operational surface.

My role: I handled the full-stack Web GIS architecture, spatial schema, map editing, API persistence, and data-quality controls.

Outcome: The platform provides authenticated map workflows backed by PostgreSQL and PostGIS. The case study documents architecture and boundaries; operational data and the private repository are not published.

PostGISFastAPINext.jsLeaflet

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Private operational system

CNS Platform Optimization and Automation

Problem: Recurring manual work and legacy behavior increased maintenance and deployment risk.

My role: I improve backend behavior, automate admin workflows, strengthen delivery checks, and align technical changes with operational use.

Outcome: The work reduces repeated manual handling and creates a more controlled maintenance path. Production topology, internal records, and private source remain undisclosed.

DjangoPythonAutomationReliability

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Public workflow evidence

AI Workflow Library

Problem: AI-assisted engineering needs repeatable instructions, review gates, and proof that survive beyond one chat session.

My role: I designed the reusable repository workflow, validation layers, review prompts, and delivery evidence model.

Outcome: The library turns working conventions into portable, inspectable workflow assets. Public documentation shows the model; repository-specific credentials and private runtime evidence are excluded.

GitLab CIValidationAI WorkflowDocumentation

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Project archive

Additional case studies

Compact records of systems where the implementation is private or the public evidence is intentionally limited.

CNS Web and SCADA-like RedesignReal-time operational interface, state flows, and field context Private project SpendLensReceipt processing, OCR-assisted extraction, and private finance records Private project Daily EdgeValidated technical-intelligence automation and publishing handoff Private project LinkedIn Profile MCP and Evidence CaptureRead-only profile, portfolio, Search Console, and GitLab evidence tooling Public workflow evidence CnsVizSeparated editor and runtime APIs with verified package delivery Private project