Applied Systems Engineer building practical operations systems, internal tools, and automation through AI-assisted development.

I learned software development by solving real operational problems rather than through a traditional engineering path. I use AI as a development partner to explore, implement, test, document, and improve systems. I remain responsible for framing the problem, defining the workflow, validating the output, and operating what I build.

My background combines law, business operations, customer-facing work, and system building. Most projects here started from workflows I encountered directly while running or supporting real operations.

• Database-backed systems for operational workflows and persistent state
• Internal tools that reduce manual coordination and make decisions easier to review
• AI-assisted automation with explicit validation and human approval boundaries
• Decision-support systems with explainable rules, scoring, and audit records
• Production web systems with testing, validation, and operational safeguards

Local-first multi-source business discovery and qualification engine built with Python, SQLite, Streamlit, OpenStreetMap / Overpass, and optional external corroboration.

Demonstrates heterogeneous source normalization, structured geospatial discovery, entity identity beyond website domains, conservative entity resolution, data-quality safeguards, deterministic processing, offline reproducibility, and human-reviewed workflows.

Public-safe edition of the bilingual production website I built and maintain for Fixera.

Demonstrates JavaScript and Node.js tooling, automated builds, EN/DA parity, sitemap and hreflang generation, SEO validation, browser testing, and production-oriented verification.

Python and SQLite decision-support system for ingesting, parsing, scoring, and reviewing rental opportunities.

Demonstrates queue-based processing, persistent state, explainable scoring, profile-aware matching, audit tools, regression tests, a deterministic offline demo, and automated CI validation.

Public-safe architecture case study of a database-first operations system for job lifecycle, records, reporting, and human review.

Public-safe architecture case study for evidence-aware AI-assisted workflows, fail-closed routing, and explicit human-review boundaries.

Public-safe architecture case study documenting sequence-driven progression, persisted-state design, audit-preserving reverts, and fail-closed workflow boundaries.

AI expands what I can build, but it does not replace ownership or judgment.