About & Experience

Engineering reliability, with industry context.

I'm a technology professional focused on cloud infrastructure, DevOps automation, AI applications, and production reliability — with hands-on experience across enterprise cloud (Microsoft Azure), deployment engineering at scale (Paycom), software engineering (Koddi, OPAL), and full-stack web platforms (UNT).

I gravitate toward systems that have to keep running: CI/CD that doesn't flake, Kubernetes workloads that scale predictably, rollback paths that work the first time, and AI workflows with idempotent retries. Domain knowledge across hospitality, real estate, and financial markets is a multiplier — not a distraction.

At a glance
Focus
Cloud · DevOps · SRE · AI
Stack
Azure · K8s · Terraform · Python
Status
Open to roles
Location
Available worldwide · Remote / Hybrid
Reach out
Experience

Where the work has happened.

From enterprise Azure support for Fortune 500 customers to deployment engineering on Kubernetes — a track record built on shipping, troubleshooting, and reliability.

Jun 2025 – Jul 2026

Site Reliability Engineer II

Paycom

Owned production reliability for Kubernetes microservices on AKS, GitLab CI/CD pipelines, and Linux-based operational automation — and built an LLM-powered incident-triage service that turns logs and telemetry into actionable recommendations for on-call engineers.

Impact areas
  • CI/CD automation
  • Kubernetes reliability
  • LLM-assisted operations
  • Release engineering
  • Production support
  • Linux automation
  • On-call RCA
  • Built a Python/FastAPI incident-triage service that feeds Kubernetes logs, deployment configuration, and incident context to an LLM endpoint to generate troubleshooting recommendations for on-call engineers.
  • Engineered LLM output guardrails: Pydantic schemas validate structured responses before they reach engineers, and recommendations are checked against live telemetry before being codified as runbook procedures.
  • Owned production reliability for Kubernetes microservices on AKS using Helm; tuned CPU/memory requests and limits, liveness/readiness probes, HPA autoscaling, deployment strategies, pod scheduling, and ephemeral-storage limits to improve stability and reduce infrastructure waste.
  • Owned on-call root-cause analysis for production AKS incidents, tracing failures across pod, node, storage, and network layers — including CrashLoopBackOff, ImagePullBackOff, OOMKilled pods, failed readiness probes, storage pressure, node resource exhaustion, and service discovery — using kubectl, Grafana, journalctl, tcpdump, and Linux performance commands.
  • Built GitLab CI/CD pipelines using Python, Bash, YAML, and Docker with secrets handling, approval gates, smoke tests, pre-deployment checks, rollback stages, and environment promotion to reduce failed deployments and production impact.
  • Automated Linux and Kubernetes health checks, remediation, patching, environment provisioning, and configuration templates using Python, Bash, Ansible, systemd, and cron to reduce drift and manual toil.
  • Diagnosed NGINX/Ingress routing, DNS resolution, TLS certificates, and Azure networking issues affecting service connectivity.
  • Collaborated with development, platform, security, and cloud infrastructure teams to troubleshoot CI/CD failures, Kubernetes platform issues, networking dependencies, access/RBAC problems, and service reliability risks.
Tech stack
  • AKS
  • Kubernetes
  • Helm
  • GitLab CI/CD
  • Docker
  • NGINX / Ingress
  • Azure Networking
  • DNS
  • TLS
  • Linux
  • Ansible
  • systemd
  • Bash
  • Python
  • FastAPI
  • Pydantic / LLM Guardrails
  • HPA / Autoscaling
  • Grafana
  • Prometheus
  • kubectl
  • RBAC
  • On-call / Incident Response
Oct 2023 – Jun 2025

Azure Cloud Solution Engineer

Microsoft

Led enterprise Azure modernization and migration engagements for Fortune 500 customers while troubleshooting production workloads across App Service, Functions, Container Apps, and AKS — backed by Python/Azure SDK diagnostic tooling and Azure OpenAI-powered investigation workflows.

Impact areas
  • Cloud migration
  • Azure troubleshooting
  • Production reliability
  • DevOps automation
  • AI-assisted diagnostics
  • Infrastructure security
  • Enterprise support
  • Kubernetes / AKS support
  • Developed a Python diagnostic assistant that runs KQL queries through Azure SDKs and passes the results to Azure OpenAI to generate diagnostic summaries and recommended investigation steps.
  • Built Python/Azure SDK utilities to detect deployment failures, evaluate application health, investigate network connectivity, and analyze recurring diagnostic patterns, improving detection and triage of deployment, networking, and configuration issues across Linux-based Azure environments.
  • Led App Service Environment v2-to-v3 migrations and resolved deployment, networking, and SSL/TLS issues for enterprise and Fortune 500 customers including AT&T, GM, Coca-Cola, and Walmart.
Tech stack
  • Azure
  • App Service / ASE v2-v3
  • Azure Functions
  • Azure Container Apps
  • AKS / Kubernetes
  • Azure OpenAI
  • KQL
  • Azure DevOps
  • GitHub Actions
  • Terraform
  • Bicep
  • ARM Templates
  • Azure CLI
  • Python
  • Bash
  • Azure SDKs
  • Linux
  • Application Insights
  • Azure Monitor
  • Grafana
  • OpenTelemetry
  • AppLens / Kudu
  • kubectl
  • VNet / NSG / DNS
  • Application Gateway
  • Load Balancer
  • RBAC / Azure Policy
  • SSL/TLS
Jun 2023 – Sep 2023

Software Engineer

Koddi

Worked on software engineering, internal tooling, backend optimization, code quality automation, SQL Server improvements, API testing, and cloud integration support for advertising technology systems.

Impact areas
  • Software engineering
  • Code quality
  • Backend systems
  • SQL optimization
  • API testing
  • Cloud integration
  • Developed a Code Analyzer to identify bugs, enforce coding standards, and improve code quality before deployment.
  • Built internal tooling that supported quality improvements across 8 teams and impacted 100+ users.
  • Designed and optimized C#/.NET applications for Koddi's Demand product, improving maintainability and application performance.
Tech stack
  • C#
  • .NET
  • AWS
  • SQL Server
  • SSMS
  • GitLab
  • Postman
  • ASPX
Jul 2022 – May 2023

Web Developer

UNT — Division of Digital Strategy and Innovation

Developed, maintained, and optimized university web platforms across CMS migration, web accessibility, analytics tracking, authentication, PHP development, API optimization, and site performance.

Impact areas
  • Web development
  • CMS migration
  • Accessibility
  • Analytics engineering
  • API optimization
  • Authentication
  • Server administration
  • Developed and maintained web pages for UNT Online using Drupal CMS, OMNI CMS, HTML, CSS, JavaScript, and PHP.
  • Delivered full-stack web updates for university digital platforms serving students, faculty, and online education users.
  • Supported the transition of departmental web properties from Drupal 8 to OMNI CMS.
Tech stack
  • Drupal 8
  • OMNI CMS
  • HTML
  • CSS
  • JavaScript
  • PHP
  • REST APIs
  • OAuth 2.0
  • Siteimprove
  • GTM
  • GA4
  • Linux
  • Apache
May 2022 – Aug 2022

Software Engineer Intern

OPAL, LLC

Worked on full-stack application development for an NFT marketplace and social media platform. Built frontend and backend features, integrated application components, supported wallet functionality, and contributed to testing automation.

Impact areas
  • Full-stack engineering
  • Web3 application development
  • Frontend/backend integration
  • Testing automation
  • Product development
  • Developed frontend and backend features for an online NFT marketplace using JavaScript, Python, React, Node.js, and MongoDB.
  • Built social media platform functionality for the Opal website.
  • Integrated frontend and backend application components to improve performance, usability, and overall user experience.
Tech stack
  • JavaScript
  • Python
  • React
  • Node.js
  • MongoDB
  • Figma
  • MetaMask
Jun 2022 – Jul 2022

Paycom Technology Program

Paycom

Completed a hands-on technical program focused on enterprise software engineering, application security, DevOps, mobile development, backend development, frontend development, and database fundamentals.

Impact areas
  • Technical training
  • Secure development
  • DevOps fundamentals
  • Enterprise software engineering
  • Completed structured technical training across PHP, React, C#, SQL, DevOps, mobile development, and application security.
  • Strengthened understanding of secure software development and enterprise engineering practices.
  • Built foundational experience across frontend, backend, databases, deployment workflows, and DevOps concepts.
Tech stack
  • PHP
  • React
  • C#
  • SQL
  • DevOps
  • Application Security
  • Mobile Dev
May 2021 – May 2022

Network Security Specialist

University of North Texas System

Supported network operations, incident documentation, ticket management, NOC escalation reduction, field engineer support, and operational process improvement for university network environments.

Impact areas
  • Network operations
  • Incident tracking
  • Documentation
  • Support workflows
  • Escalation management
  • Created detailed documentation for network incidents, support workflows, and technical events.
  • Created and managed 500+ ServiceNow tickets to track batch issues, network incidents, and operational requests.
  • Helped minimize NOC escalations by documenting issue details and supporting first-level troubleshooting.
Tech stack
  • ServiceNow
  • NOC Operations
  • Ticketing Systems
  • Troubleshooting
  • Technical Docs
Current career focus

Roles in Cloud Engineering, DevOps, Site Reliability Engineering, Platform Engineering, Infrastructure Automation, and AI-enabled software systems.