Technical Educator
Designing beginner-friendly explanations, lesson flows, practice loops, and learning tools that make technical concepts easier to use.
A bilingual technical educator and AI workflow builder turning teaching experience, practical automation, Git/GitHub curriculum, and web projects into proof that teams and learners can actually use.
This page now centers the stronger career lane: Technical Educator / AI Workflow Builder / Bilingual EN-ES β supported by public projects, teaching experience, certifications, and practical systems.
Designing beginner-friendly explanations, lesson flows, practice loops, and learning tools that make technical concepts easier to use.
Building useful AI-assisted workflows that inspect files, update projects, schedule work, summarize information, and verify results.
Turning Git/GitHub, AWS, SQL, Python, and AI concepts into cards, labs, examples, and repeatable practice.
Using small-business demos and client-style workflows as a practical lab for explaining technology, solving problems, and shipping useful artifacts.
Each project is framed by the learning problem, the build, the user value, the current status, and what it demonstrates for technical education, customer enablement, or AI workflow roles.
A beginner-friendly Git/GitHub trainer with flashcards, quizzes, workflow labs, merge-conflict practice, and Jira-style story writing β built to teach real developer habits, not just vocabulary.
A local operating system for projects, priorities, calendar planning, knowledge capture, recurring briefings, and AI-assisted workflows powered by Hermes Agent.
A rhythm-learning app concept for children ages 5β7 focused on clapping, left/right-hand patterns, and two-hand coordination.
A receipt-based analytics project to measure household grocery inflation using Walmart, Publix, and recurring grocery purchases over time.
An interactive 25-minute practice board with a copy-ready note builder and interview-answer coach that turns SQL, Python, dashboard, and analyst-storytelling reps into portfolio evidence.
A structured practice lane for data-cleaning reps, Python/SQL analysis, dashboards, and job-ready evidence built over time.
A location-specific home weather assistant that checks rain timing, hourly rainfall amount, temperature, and precipitation probability for the exact property area without exposing private coordinates publicly.
A daily technical AI briefing assistant that keeps Daniel current on relevant AI, agents, tooling, model releases, and practical trends.
This portfolio is built around practical agentic AI: tools that can take actions, inspect real files, coordinate tasks, remember procedures, and verify work instead of only generating text.
Hands-on use of Hermes Agent as a local, tool-using AI assistant for project work: editing files, checking repositories, deploying sites, managing recurring jobs, and maintaining reusable skills.
Daniel uses agentic workflows to move from idea to artifact: define scope, update the board, edit the product, test locally, deploy, and confirm the public URL with real evidence.
Recurring bots for home weather, precise rain alerts, technical AI news, and decision support β designed as practical agent workflows, not one-off demos.
Reusable procedures, project context, and operating rules are captured so future work becomes faster, more consistent, and easier to verify.
The site itself is proof: changes are scoped, edited, visually inspected, deployed, and checked on the live domain through an AI-assisted workflow.
These are not just portfolio ideas. They are practical nightly bots designed to deliver useful, specific information automatically β weather risk for home operations and technical AI awareness for professional growth.
A nightly weather assistant for the exact home area: when rain is expected, how much may fall by hour, hourly temperature, and precipitation probability. The public portfolio describes the system while keeping private coordinates off the page.
A nightly technical briefing bot that keeps Daniel updated on AI engineering trends: agents, model releases, tooling, automation, data workflows, and practical changes worth tracking.
Both bots show recurring data collection, summarization, scheduling, filtering, and delivery β the kind of practical AI workflow that turns information into action.
The bots demonstrate Daniel's ability to design practical personal agents that run consistently, answer specific questions, and support decisions without manual checking.
Instead of only naming projects, this section gives visitors a phone-first visual sample of the experiences being described: an education prototype, a personal football dashboard, and a client-ready World Cup app offer.
Phone-first rhythm-learning prototype for children ages 5β7, focused on clapping, rhythm reading, left/right-hand patterns, and two-hand independence.
A Colombia-first command center for following the tournament from a phone: daily matches, results, groups, player stats, venue maps, and quick links.
A neutral, customizable World Cup mini-app offer for clients and fans, with multilingual copy, lightweight analytics, and upgrade/lead capture.
The through-line is practical clarity: explain the next step, reduce friction, make progress visible, and turn scattered information into usable systems.
Core lanes: technical education, AI workflows, and bilingual customer enablement.
This portfolio is intentionally simple, fast, and production-hosted β with each new project added as a clearer proof point instead of a temporary experiment.
Deployed on Cloudflare Pages with a personal domain, automatic TLS, HTTP-to-HTTPS handling, and canonical www-to-apex redirects.
Static architecture, no mixed-content dependencies, restrictive security headers, responsive layout, and a repeatable project-entry format for future updates.
I am focused on Technical Educator, Customer Education, AI Enablement, Developer Advocate, and bilingual EdTech opportunities where clear teaching, structured problem solving, and practical shipping discipline matter.