I design cloud and AI systems, lead the programs that ship them, and help organizations adopt them with clear governance and measurable results. Fifteen years across telecom presales at Huawei, AWS delivery, and Origo Solutions, the AI and cloud advisory practice I founded.
I founded Origo Solutions in 2018 to bring cloud and AI to businesses of every size, with a conviction that good technology should be within everyone's reach. Today Origo helps companies in the US and Latin America move from AI curiosity to real results: choosing the right models, designing practical use cases, and putting governance around them.
My current work centers on large language models (Claude, GPT, Gemini and open-source models) and the systems around them: retrieval-augmented generation, MCP integrations, agentic workflows with LangGraph and CrewAI, n8n automation, and voice agents. I also roll out Claude and ChatGPT for teams, with usage guidelines, training, and cost controls. Before that I spent years in telecommunications presales, enterprise systems, and customer experience platforms, and I have led AWS implementations built on Amazon AppStream 2.0, Amazon WorkSpaces, and Amazon Connect.
I hold a master's degree in Engineering Management with a focus on project management from Florida International University, and a degree in electrical engineering and telecommunications from Escuela Politécnica del Ejército (ESPE) in Ecuador. I have managed complex programs with budgets above $40 million, acting as project manager and account manager for key customers and owning the sales cycle end to end.
Outside of work you will find me following Formula 1, on a tennis court, or in the pool.
Practical instruments for leaders who want to understand AI before they spend more on it. More are on the way.
A free assessment that shows an organization where it stands with Claude, and what to do next. It turns a short questionnaire into a maturity score and a set of priorities, in English or Spanish.
What it measuresSix dimensions: integration, value, engineering, governance, team, and cost.
Every AI-generated video, image, and prompt has a physical cost. This calculator makes it visible, using a versioned benchmark dataset I curate and review myself.
What it measuresEstimated energy, carbon, and water behind AI-generated media and LLM usage.
Built under Origo Solutions.
Roles as a contributor inside large organizations, and the companies and products I have built myself.
Project management for AWS implementations, including Amazon AppStream 2.0 and Amazon Connect deployments for enterprise customers. Long-term engagement, 1,190+ hours, 5.0 client rating. The client's name is withheld under a non-disclosure agreement.
Innovation work and big data analysis for the city, including machine learning models built with TensorFlow.
Corporate sales and market development for one of Latin America's largest telecom operators.
Presales solution architecture and project management for telecommunications programs, plus quality management and CRM. Recognized with four company awards.
AI and cloud advisory for businesses in the US and Latin America: AI adoption assessments, governed AI systems, private RAG, workflow automation, and fractional CTO engagements. Member of the Anthropic Claude Partner Network. Earlier work included process innovation and clean energy deployment.
A bilingual maturity assessment for organizations adopting Claude. See Tools
Makes the energy, carbon, and water cost of AI-generated media visible. See Tools
Recent AI adoption and automation work, and earlier AWS programs for demanding customers. Clients are described by sector.
The firm was paying for four AI assistants with no governance, and staff were pasting sensitive data into public chatbots. I standardized prompts and security, built a private RAG system on the API, consolidated to a single provider with model routing by task, and delivered a governance framework and roadmap. Result: up to 70% lower AI spend.
Set up workflows, wrote usage guidelines, trained teams, and put repeatable AI processes in place department by department.
Led architecture decisions and structured technical sessions with a founder's offshore development team building pre-launch apps, with resources focused on a CRM MVP.
Document intelligence systems on vector databases, and AI integrated into Salesforce, HubSpot, and Pipedrive, from data preparation to automated workflows.
Automated deployment of n8n on Amazon EC2 behind CloudFront, running end-to-end workflows that combine APIs, LLMs, and dashboards.
Jump-started a customer support launch on Zendesk with bots and automated triggers.
Designed and ran AWS POCs for major companies in the oil services and global B2B payment sectors, proving the architecture before investment.
Led cloud transformation work with Amazon WorkSpaces and AppStream 2.0 for a multinational private equity firm's distributed workforce.
Enabled a B2C transformation for a high-end jewelry company with an Amazon Connect contact center.
Facilitated remote learning initiatives with streamed lab environments so students could work from anywhere.
Most AI initiatives don't stall on the model. They stall when people don't know what to use, when to use it, or what good looks like. The work that pays off is the unglamorous part: guidelines, training, and a way to measure progress.
Many companies already pay for several AI tools and can't say which ones earn their cost. Consolidating, routing each task to the right model, and cutting what isn't used often matters more than adding the next tool.
Frameworks, managed runtimes, and chat assistants aren't interchangeable choices. They sit at different layers, with different owners and different risks. The right question is who should carry the operational weight, and only then which product.
Danilo is an experienced AWS solutions architect. His background in business and management combined with his technical skills make him a great asset for any development project.
Danilo is a very knowledgeable resource and was helpful in working with my peers and I. He jump started our efforts to launch customer support using Zendesk…
Completed work quickly. Great communication. Exactly what I needed.
100% Job Success and Expert-Vetted status on Upwork. Upwork profile
Technology is only useful if people can reach it. These are the initiatives where I put that belief to work.
Supporting and coaching Indigenous women entrepreneurs in Ecuador as they build and grow their businesses.
nukari.orgAnswering requests and mentoring young entrepreneurs across Latin America through the YLAI alumni network.
Givitas networkA chatbot built on Chatfuel that teaches people about solar technology and how to adopt it at home.
Solar EcuadorRunning the online presence for a Catholic community in Ecuador so its members can stay connected.
Community pageSelected as a YLAI Fellow, a U.S. Department of State program for emerging entrepreneurs in Latin America and the Caribbean. Program profile
Recipient of the AWS Machine Learning Scholarship and the Bertelsmann Technology Scholarship Program.
Four awards at Huawei for project and quality management, and four at Origo for process innovation and clean energy deployment.
Personal posts and ideas on AI, cloud and entrepreneurship. Read the blog
Origo Solutions is an entry-tier member, with access to partner webinars and lead submission.
Top-tier status on Upwork with a 100% Job Success Score across 11 engagements and 1,500+ hours.
Weekly posts on AI governance, spend, and adoption for business leaders.
If you are working through AI adoption, an architecture decision, or a program that needs to land, I'm glad to compare notes.