Senior AI Consultant Enterprise Delivery Builder · Operator

I design & deliver enterprise AI solutions.
Then I build them in production.

Gabriel Ordonez — 15+ years shipping technical programs for Fortune 500, telecom, and enterprise clients. I roll out AI tooling across distributed engineering teams, build multi-agent platforms from scratch, and run production AI systems — not demos. MBA. PMP, PMI-ACP.

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15+
Years enterprise AI delivery
$30M+
Technology portfolio managed
60→90%
Sprint success at Fortune 500
99.97%
Production uptime, agentic platform

Live Lab

Production AI systems I build, run, and operate — not demos. Architectures and outcomes are public; source code stays private.

Active

Coquivacoa

Agent governance OS — the control plane for AI coding-agent teams

  • Rust supervisor orchestrating governed agent teams (lead / implementation / review seats) through policy gates.
  • Gates: test-before-source, independent spec-derived tests, red-test-blocks-source, adversarial review — plus human-in-the-loop approvals.
  • Per-turn model routing by measured outcomes; per-project and per-seat spend/token accounting.
  • Eight-stage delivery pipeline: Assess → Ideas → Approve → Spec → Plan → Tasks → Build → Review.
Rust MCP Governance FinOps
Live

Acuarela

Production AI product photography for Shopify merchants

  • One on-model garment photo → photorealistic color variants, powered by a fal.ai recolor engine.
  • Next.js 16 + TypeScript + Drizzle/SQLite, with Shopify App Pricing billing built in.
  • Every generation records model, cost, latency, and seed — full AI observability via Langfuse.
  • Spec-driven, multi-agent delivery: 119 specifications, Claude Code + coding agents in git worktrees.
Next.js TypeScript fal.ai Langfuse
Active

Dark-web Monitor

OSINT breach scanner with adaptive rescans

  • 20+ sources: HIBP, Cavalier, IntelX, GitHub, Telegram, RansomLook, paste sites, and .onion forums via Tor.
  • Severity-weighted rescan loop: critical targets every 4h, medium every 12h, low every 24h.
  • pgvector embedding dedup, LangGraph checkpoints, Telegram alerts on severity ≥ 4.
LangGraph pgvector Tor OSINT
Open source

Hello

100% local agentic coding setup — no cloud, no API keys, no fees

  • Curated opencode + Ollama configuration: model router, syntax validators, bash guards, context tracker.
  • 20 vendored + original skills, 8 specialized subagents, 11 slash commands.
  • Hardware-tiered (32GB / 16GB / 8GB) so it runs anywhere from a workstation to a MacBook Air.
Ollama opencode Local LLM View on GitHub
Open source

SolarFocus OS

Desktop Pomodoro with a fully local AI coach — privacy by design

  • Rust + iced 0.13, cross-platform binaries for macOS (Apple Silicon, Metal-accelerated) and Windows.
  • Local-only AI stack: SmolLM2-1.7B (GGUF Q4) for coaching, YOLOv8n for phone-distraction detection, DistilBERT INT8 for activity classification.
  • No cloud, no telemetry, no account — everything (sessions, summaries, models) stays on the user's machine in SQLite.
Rust iced llama.cpp ONNX View on GitHub
Active

OpenClaw

Agentic automation platform running in production

  • Orchestrates specialized AI agents across AWS (Kubernetes pod), coordinating multi-step workflows autonomously.
  • Integrates with n8n webhooks, CRM, email, GitHub, and enterprise data sources via MCP tool calling.
  • Built-in governance: DENY-first policy engine, per-agent tool access controls, cryptographic audit trails.
OpenClaw n8n MCP AWS EKS
Active

Lyla

Project cockpit orchestrating the fleet

  • Raycast-native control surface: each project registers a manifest with services, queries, actions, and risks.
  • Live status board across LaunchAgents, Docker stacks, and remote pods — one keypress away.
  • Multi-tool coordination layer behind every system above.
Raycast LaunchAgents Orchestration

Fractional AI Leadership

Advisory and hands-on delivery for organizations adopting generative AI. Strategy, pilots, and production rollouts — I stay until it ships.

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About

I'm the Founder & CEO of Adwaizer. I work with enterprise leaders who want AI in production — not in slide decks. Strategy, pilots, and rollouts, delivered hands-on.

15+ years in global telecommunications taught me how large-scale distributed systems actually behave in production — from heuristic automation (2011) to predictive ML (Huawei Global Innovation Award, 2017).

That experience runs through everything I build today: governed agent teams, production AI products, and the playbooks enterprise teams use to ship GenAI without the chaos.

Technical Skills

Microsoft & Enterprise AI

  • M365 Copilot — enterprise rollout & adoption
  • Azure OpenAI, Microsoft Graph
  • Power BI, Power Platform
  • GitHub Copilot, Claude Code
  • Teams integration & governance
  • Responsible AI & compliance frameworks

AI/ML Stack

  • LangGraph multi-agent orchestration
  • RAG / HNSW (85%+ retrieval accuracy)
  • MCP — 35+ live tool integrations
  • AWS Bedrock, SageMaker
  • Prompt engineering & LLM evaluation
  • AI guardrails & audit trails

Automation & Integration

  • OpenClaw — agentic automation platform
  • n8n — workflow automation & webhooks
  • Zapier — business process automation
  • API integrations (GitHub, CRM, Jira)
  • Python scripting & FastAPI
  • CI/CD, Docker, AWS Lambda

Consulting & Delivery

  • Enterprise AI strategy & assessments
  • SOW & proposal development
  • Stakeholder & C-suite communication
  • Agile / SAFe / PMP / PMI-ACP
  • CapEx/OpEx portfolio management ($30M+)
  • Customer-facing workshops & training

Professional Experience

2024 – Present

Founder & CEO

Adwaizer Platform | Remote

  • Advisory & Delivery: Running Adwaizer as an AI consultancy — advising enterprise leaders on GenAI strategy and staying hands-on through pilots, rollouts, and production operations.
  • Production Systems: Ship and operate Acuarela (AI Shopify app for e-commerce product imagery) and Coquivacoa (Rust "agent OS" governing coding-agent teams) — from strategy to production, not slideware.
  • Agentic Frameworks: Deploying human-in-the-loop virtual workforce agents to run operations seamlessly, bridging models and enterprise data.
2023 – Present

Project Customer Delivery Manager — AI-Agent QE Automation

Amdocs (Fortune 500) | Ottawa, ON

  • AI-Agent QE Platform: Architected and built a custom AI-agent-driven QE automation platform (Python) for T-Mobile's Veloce/RF Hub suite — MCP server, 14+ AI subagents, 19 slash-command workflows, GitLab CI eval gates, orchestrated with Claude Code and Cursor.
  • Evidence Framework: Contract-first test evidence — every verdict backed by a live schema-validated database lookup, API capability call, or Splunk probe; 85+ feature test packages across 300+ evidence-capture sessions.
  • AI Adoption Leadership: Led 15+ engineers and data architects across Canada, US, and India on AI adoption initiatives, including company-wide Copilot, Claude, and OpenAI rollouts — sprint success improved 60% to 90%.
  • Enterprise AI Strategy: Member of the Amdocs GenAI Task Force, shaping enterprise AI strategy and adoption priorities.
  • ROI Analytics: Built adoption metrics dashboards quantifying developer productivity gains and presenting AI value propositions to C-suite stakeholders.
2021 – 2023

Independent Consultant (Technical Programs)

Remote

  • Delivered consulting while completing MBA—bridging technical execution with business strategy.
  • AI Advisory: Consulted on AI implementation for BSS modernization.
  • Engineering Frameworks: Designed delivery standards for distributed software teams.
  • SAFe Transformation: Led Scaled Agile adoption across multi-cultural distributed teams.
2018 – 2021

Engineering Manager

VIVA Nuevatel PCS de Bolivia | La Paz, Bolivia

  • Directed engineering transformation for nationwide distributed infrastructure serving millions of subscribers.
  • Managed $30M+ CAPEX portfolio across engineering initiatives.
  • Introduced Agile value-stream frameworks replacing waterfall approaches.
2015 – 2018

Technical Program Manager (Regional Lead)

Huawei Technologies | La Paz, Bolivia

★ HUAWEI GLOBAL INNOVATION AWARD (2017)

  • CEO recognition for pioneering machine learning implementation in predictive infrastructure planning using Prophet.
  • Data-Driven Optimization: Led team utilizing statistical analysis on TB-scale telemetry data to predict capacity constraints.
  • ML Pipeline Design: Designed data pipelines and built predictive models.
2013 – 2015

Senior Technical Project Manager

Nokia | La Paz, Bolivia

  • Managed end-to-end delivery of complex infrastructure integration projects.
  • Served as primary bridge between technical delivery teams and client executives.
2003 – 2013

Previous Experience

Ericsson | MSI Americas | Telefónica

  • Solutions Architect & Project Lead (Ericsson): Deployed automated optimization solutions (fuzzy logic algorithms) for Telefónica across LatAm.
  • RF Engineer (MSI/Telefónica): Built deep technical foundation in distributed systems engineering.

Case Studies

Selected engagements and prior builds — the techniques behind the Live Lab.

Adwaizer

AI consultancy — strategy through production

  • Advisory for enterprise leaders adopting GenAI: assessments, pilots, and production rollouts.
  • Playbooks, courses, and tooling that close the gap between AI strategy and shipped systems.
Consulting AI Strategy Visit Adwaizer.com

Enterprise AI Adoption — Fortune 500

M365 Copilot & GitHub Copilot Rollout · Amdocs · 2023–Present

  • Deployed M365 Copilot, GitHub Copilot, and Claude Code across 15+ engineers in Canada, US, and India — establishing governance standards, shared prompt libraries, and role-based training.
  • Sprint success improved 60% → 90% in under 2 months through AI-assisted workflow automation and data-driven process optimization.
  • Built Power BI / Tableau dashboards quantifying ROI and presenting AI value to C-suite stakeholders. Reduced manual reporting by 45%.
M365 Copilot GitHub Copilot Power BI AI Adoption

RAG Implementation

Document Intelligence Pipeline

  • Architected Retrieval-Augmented Generation pipelines using LangChain and AWS Bedrock.
  • Achieved 40% reduction in information retrieval time.
  • Hybrid search plus caching strategies behind the speedup.
LangChain AWS Bedrock View Case Study

Model Evaluation Framework

Benchmarking & Optimization

  • Built evaluation harnesses benchmarking LLM performance head-to-head (Claude vs. GPT-4), with pinned regression corpora.
  • Cut token costs 25% through prompt caching and context-window optimization.
Python LLM Benchmarking View Case Study

Full-Stack GenAI Apps

End-to-End Delivery

  • Shipped end-to-end GenAI applications on Python/Streamlit.
  • Semantic search over Pinecone and FAISS vector stores.
Streamlit Pinecone View Case Study

MCP Development

Model Context Protocol

  • Built MCP servers connecting AI assistants to enterprise platforms (GitHub, CRM, Jira) over JSON-RPC.
  • Secure, standardized context exchange between models and tools.
JSON-RPC Protocol Design

GitHub Repositories

Public repositories showcasing my work in AI, ML, and software development.

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Education & Certifications

Education

Master of Science, Business Intelligence & Analytics

University of Barcelona | 2019

Master of Business Administration (MBA)

University Canada West, Vancouver | 2022

Bachelor of Science, Electrical Engineering

Universidad del Zulia, Venezuela

Certifications & Awards

  • PMP — Project Management Professional (renewed Apr 2026)
  • PMI-ACP — Agile Certified Practitioner (active through Dec 2028)

Huawei Global Innovation Award

(2017) CEO recognition for pioneering ML in predictive infrastructure planning.

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