Founder & Solo Engineer | Applied AI for HVAC Diagnostics
Applied LLM Systems
React
iOS / Android
Sentry
- Solely architected, built, and shipped a production AI diagnostic application for
HVAC technicians across iOS (Mar 2026) and Android (Jul 2026), attracting 30–50 new
technicians per week organically with zero paid acquisition.
- Embedded directly with field technicians to translate diagnostic reasoning into an
AI-assisted system; evolved an initial Generator → Reviewer → Formatter LLM pipeline into
deterministic state-machine decision trees with explicit, verifiable Pass/Fail criteria.
- Engineered the full web surface: built a high-performance marketing homepage with
Astro for fast static delivery and an internal team-managed operational
portal with React for collaborative workflows.
- Deployed scheduled autonomous AI agents with custom skills to continuously audit,
generate, and optimize programmatic SEO content and site search discoverability.
- Built scheduled agentic bug-finder and automated remediation workflows using custom
skills to scan telemetry, reproduce field issues, and draft fixes; implemented skill-driven
automated Android publishing pipelines.
- Built an automated prompt regression test suite run on every pipeline change,
validating safety gates, edge-case diagnoses, and JSON schema correctness before production
deployment.
- Leveraged Sentry and Maestro E2E automation as a primary production telemetry loop;
traced app crashes, broken flows, and silent drop-offs to specific logic paths and fed
real-world patterns back into diagnostic logic and prompt evaluations.
City of Garland
2025 – Present
GIS Lead | Practical AI Adoption & Rapid Delivery
Practical AI
Workflow Automation
ArcGIS Enterprise
Legacy Reverse-Engineering
- Lead practical AI adoption across the GIS team, identifying high-leverage workflows
and empowering non-programmers to build their own automations (including an AI-assisted
macro that eliminated recurring monthly manual data entry).
- Extended automation upstream to the data-producing department, removing redundant
forwarding and handoffs while slashing turnaround time.
- Developed a proof-of-concept AI agent to audit and validate municipal spatial
address data, automating discrepancy detection and anomaly resolution for an address
clean-up project.
- Delivered a production restaurant inspection application in one week: used AI to
navigate a 200+ table undocumented legacy SQL database, accelerating the complete delivery
cycle from schema discovery and data validation to automated ArcGIS map-service deployment
and an HTML frontend.
Cognizant – FM Global
2021 – 2025
Senior Developer | Full-Stack, Data & Geospatial Engineering
React / TypeScript
Python
Azure Cloud
SAM-GEO Foundation
- Embedded with client engineering as a domain specialist, translating complex
commercial insurance requirements into production systems across React, TypeScript, Python,
Azure, and ArcGIS Enterprise.
- Led development of a React/TypeScript geospatial curation platform for commercial
property insurance, integrating ESRI JavaScript API, Google Street View, Vexcel oblique
imagery, and Turf.js to help risk analysts verify property boundaries and evaluate exposure.
- Engineered a 4-stage Python property-valuation actuarial pipeline spanning raw data
ingestion/cleansing, multi-source API enrichment, spatial calculation, and automated
reporting; deployed to Azure with 90%+ test coverage.
- Architected an automated ESRI deployment synchronization engine using Python to
digest exported XML and EPK configuration packages, automating geodatabase schemas, feature
services, web maps, and application lifecycle updates across environments.
- Prototyped AI geospatial object-detection workflows using SAM-GEO foundation models
to evaluate automating roof and structural boundary extraction from high-resolution imagery.
- Enforced production software standards and governance: implemented Docker
containerized development environments, Azure DevOps CI/CD pipelines, and resolved security
vulnerabilities identified via Veracode SAST scanners.
City of Garland
2013 – 2021
GIS DBA & Developer
Enterprise GIS Architecture
Python
Emergency Management
- Architected, maintained, and managed enterprise GIS infrastructure, including
ArcGIS Server, Portal, ArcGIS Hub, and GeoEvent Server across Oracle and Microsoft SQL
Server databases.
- Planned and executed a full enterprise GIS database migration from Oracle to
Microsoft SQL Server with zero service downtime, administering database schemas, user roles,
and security policies.
- Built a citizen-facing single-page web application querying city services via
ArcGIS REST APIs and developed a real-time AVL (Automatic Vehicle Location) web application
displaying live municipal vehicle tracking and historical query/export tools.
- Engineered a Python data integration pipeline synchronizing municipal traffic
databases with Waze real-time feeds to automate road closure updates and incident response.
- Automated spatial joining and analysis of municipal crime incidents with
neighborhood geographic boundaries, generating scheduled automated intelligence reports.
- Provided mission-critical technical operations and emergency GIS support for
Emergency Management during major crises, including the 2015 Christmas Tornadoes and the
2020 pandemic response.
City of Dallas
2009 – 2013
GIS Analyst
Python
VB.NET
- Designed and deployed a custom VB.NET inspection workload scheduler for field
crews, streamlining dispatching workflows and enabling managers to optimize team
supervision.
- Developed a specialized .NET toolbox for the municipal Water Quality team to record
environmental laboratory sample data, validate test parameters, and automate compliance
reporting.
- Built automated Python scripts to trigger and dispatch formal Notice of Violation
emails directly from spatial violation records.
- Authored custom automation tools using ArcObjects, Python, and VB.NET,
significantly increasing daily operational data processing speed and workflow stability
across departments.
- Delivered technical support, documentation, and GIS training to operational staff
with diverse technical backgrounds.
Earlier Research Experience
2008 – 2009
Research Assistant & GIS Intern
LiDAR 3D Extraction
9-1-1 Emergency Dispatch Data
- North Central Texas Council of Governments (NCTCOG) (Mar 2009 –
Jul 2009): Created 9-1-1 ArcSDE spatial address feature classes and datasets from scratch
across two regional counties, synthesizing satellite imagery, planning department drafts,
and on-site field verifications for emergency dispatch accuracy.
- The University of Texas at Dallas (Jun 2008 – Dec 2008): Developed
3D feature extraction and classification tools in ArcGIS Desktop using ArcObjects to
characterize and isolate buildings, tree canopies, and power line corridors from aerial
LiDAR point cloud data.