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ArmandoSNHU/README.md

Armando Gomez

AI Solutions & Technical Systems Engineer — M.S. in Artificial Intelligence, Ph.D. in progress. I build operational AI, secure integrations, and automation for real systems, and I've spent 8+ years supporting users, networks, and infrastructure. My strength is the intersection: taking a vague operational problem all the way to a working, deployed, observable system. Targeting AI solutions, customer/technical-solutions, and forward-deployed engineering.

Portfolio GitHub Open to

Focus Areas

  • Operational AI — incident triage, multi-agent tooling, local LLMs (Ollama), RAG, evaluations
  • Networking & support — TCP/IP, DNS, DHCP, IPv4/IPv6, packet analysis, root-cause analysis, incident ownership
  • Secure integrations & automation — APIs, webhooks, pipelines, policy-as-code, regulated environments
  • Cloud & platform — AWS, Terraform, Docker, Kubernetes, Prometheus / observability
  • AI for security & compliance (developing specialization)

Featured Work

Project What it demonstrates Stack
AIOps Incident Copilot Correlates logs, metrics, and alerts into ranked, evidence-cited root causes with next steps — health checks, Prometheus metrics, JSON logs, Docker Compose, and Kubernetes manifests FastAPI, Docker, K8s, Prometheus
DNS/DHCP Lab Authoritative + recursive DNS (CoreDNS) and a DHCP scope (dnsmasq) in Docker Compose, a validated zone, a Python validator, and dig/nslookup troubleshooting walkthroughs CoreDNS, dnsmasq, Docker
Security RAG Assistant Cited answers over MITRE ATT&CK / NIST / GDPR / PCI — runs offline with no models, or on a local Ollama backend; CLI + API, tested Python, RAG, Ollama, FastAPI
AI Council Agentic security & compliance auditor — a multi-agent chain on local LLMs maps findings to MITRE ATT&CK, reasons about GDPR/PCI risk, and writes remediation. M.S. AI capstone Python, Ollama, LangChain
Secure City Analytics Role-based public-safety analytics — React 18 + TypeScript (strict), 3-role access control, 19 tests, CI/CD to a live demo React, TypeScript, Vite
AWS Terraform Lab Full AWS environment as code — refuses 0.0.0.0/0 SSH, IMDSv2 required, least-privilege IAM, tfsec in CI Terraform, AWS, tfsec

More on gomeztech.dev and in the pinned repositories — including net-diag-toolkit, uptime-sentinel, alert-router, sigma-detection-lab, ipv6-rca-case-study, and the IT Helpdesk / Windows Server lab.

Technical Toolbox

Languages: Python, TypeScript, JavaScript, SQL, PowerShell, Bash
AI: local LLMs (Ollama), multi-agent orchestration, RAG, structured/JSON outputs, evaluations, MCP, FastAPI, LangChain
Cloud & platform: AWS (VPC, EC2, S3, IAM), Terraform, Docker, Kubernetes, Prometheus, GitHub Actions CI
Networks & systems: TCP/IP, DNS, DHCP, IPv4/IPv6, VLANs, packet analysis (Wireshark), Windows Server, Active Directory, Entra ID, Hyper-V, Tailscale
Practice: unit testing, CLI/API design, README-first documentation, least-privilege and observability by default

Education

  • Ph.D. Artificial Intelligence (in progress) — Capitol Technology University
  • M.S. Artificial Intelligence — Colorado State University Global
  • B.S. Computer Science — Southern New Hampshire University

Certifications

  • Google IT Support Professional Certificate
  • FAA Part 107 Remote Pilot Certificate

Contact

Pinned Loading

  1. SERK_WEB SERK_WEB Public

    A twenty-lane agent pipeline that audits web properties for security, accessibility, performance and SEO defects. Zero dependencies — clone it and run it on stock Node.

    TypeScript

  2. Secure-City-Analytics Secure-City-Analytics Public

    Role-based public-safety analytics platform — React 18 + TypeScript (strict), 3-role RBAC, 19 Vitest tests, CI/CD to GitHub Pages, accessible Recharts, live demo.

    TypeScript 1

  3. ai-code-review ai-code-review Public

    Multi-specialist AI code review powered by local LLMs. 4 parallel reviewers: security, bugs, performance, quality. No API keys required.

    Python

  4. FDE_Dashboard FDE_Dashboard Public

    Forward-deployed engineering in public: a role-scoped MCP server with prompt-injection defenses, 173 tests, and an eval harness (45.9% to 94.6% safe decisions). Live dashboard + threat model + ADRs.

    Python

  5. ai-ticket-to-code ai-ticket-to-code Public

    Convert issue tickets to production-ready code in 5 steps: parse -> design -> implement -> test -> PR description. Local LLMs, no API keys.

    Python

  6. aws-terraform-lab-2026 aws-terraform-lab-2026 Public

    AWS infrastructure as code with Terraform: VPC, EC2, S3, IAM instance profiles and security groups. CI-validated with terraform validate and tfsec on every push.

    HCL