Portfolio

Award-Winning Products & Enterprise Systems

Top-tier hackathon finishes, production-grade frontends, mobile builds, and AI tools that scale. 2nd place HDC, Top 12 HackNation, and enterprise delivery across React, Kotlin, and cloud platforms.

2nd Place · HDC México 2024 Hackathon AI

EcoVentus

AI-Driven UAV Monitoring Platform for environmental intelligence and mission planning.

Mission Planning Dashboard

EcoVentus real-time monitoring view displaying drone telemetry and flight data

Real-time Telemetry

EcoVentus environmental monitoring dashboard with sensor data visualization

Environmental Sensors

Route Optimization

System Diagnostics

Weather Integration

Mission History

EcoVentus detailed reports and analytics for mission outcomes

Analytics Reports

EcoVentus incident detection and emergency response interface

Incident Management

EcoVentus 3D virtual navigation and terrain visualization

3D Navigation

EcoVentus project information and system specifications

System Overview

EcoVentus is an AI-driven web platform for UAV mission planning with real-time monitoring and analytics. Built in 48 hours at HDC México, it delivered route optimization for precision agriculture and environmental monitoring.

2+ million hectares potential coverage per mission

48 hours from concept to production deployment

Real-time AI route optimization with Leaflet maps

Next.jsReactPythonFlaskMongoDBLeafletHuawei Cloud

View Code

2nd Place · HDC Brasil 2025 Hackathon AI

HoneyRoute

Apiary Intelligence Platform — AI-powered hive health monitoring for beekeepers.

HoneyRoute login authentication screen — Secure login experience

HoneyRoute home dashboard — Hive health dashboard

HoneyRoute new hive creation form — Create and manage new hives

HoneyRoute new apiary setup and configuration — Apiary setup and configuration

HoneyRoute apiary details and hive health status — Detailed hive health status

HoneyRoute apiary health history timeline and trends — Health history and trend analysis

HoneyRoute AI health recommendations and insights — AI recommendations and insights

HoneyRoute evidence photos and diagnostic data — Diagnostic evidence and reports

HoneyRoute AI analysis results and predictions — AI-driven predictions

HoneyRoute historical data and long-term trends — Historical trends and long-term analysis

HoneyRoute alerts and notifications management — Alerts and notification controls

HoneyRoute map view of apiary locations — Location mapping for apiaries

HoneyRoute user settings and app preferences — User account settings

HoneyRoute is an offline-first PWA for beekeeping health detection and smart recommendations. Built in 48 hours at HDC Brasil, it delivers AI-driven hive monitoring for rural beekeepers in low-connectivity regions.

100% offline-first PWA for rural beekeeping

AI-powered diagnostics with 85% accuracy on hive health

48 hours from idea to working PWA

ReactNode.jsPWAAI/MLHuawei Cloud

View Code

Top 12 · HackNation Hackathon AI

CongestionAI

Traffic-aware departure planning for smarter mobility decisions.

CongestionAI result tab with best departure recommendation and ETA — Result tab: best departure recommendation

CongestionAI result tab showing route alternatives and congestion insights — Result tab: route alternatives and congestion insights

CongestionAI forecast tab with future departure recommendations — Forecast tab: 72-hour departure outlook

CongestionAI history tab with saved trips and performance trends — History tab: saved trips and review flow

CongestionAI settings tab with planner defaults and savings preferences — Settings tab: planner and savings configuration

CongestionAI forecast and heatmap visualization — Forecast heatmap and route-pressure view

CongestionAI settings and trip personalization panel — Personalization, country, and map settings

CongestionAI is a mobility planning web app that helps drivers decide when to leave, not just which route to take. Built for HackNation, it compares departure windows, estimates traffic-aware ETA, scores congestion risk, and highlights savings in time, fuel, money, and CO2 through dedicated Home, Result, Forecast, History, and Settings flows.

72-hour forecast for flexible trip planning

Traffic-aware ETA sampling with Google Routes API

Top 12 nationally at HackNation competition

Next.js React TypeScript Google Routes API Google Places API Risk Scoring

Live Demo View Code

AIWeb

BlueShelf AI

AI-assisted pantry management with smart product detection, inventory tracking, and recipe suggestions.

Inventory app - main view — Inventory dashboard and item status

Inventory app - item detection — AI-assisted product detection

Inventory app - recipe suggestions — Smart recipe suggestions

A polished household inventory app built with Next.js, Material UI, Supabase, and OpenAI. It supports full CRUD product management, AI-assisted photo analysis for product detection, image uploads, inventory insights, and recipe suggestions based on what is already in stock.

Full CRUD inventory management with stock history and inline quantity updates

AI-assisted product photo analysis and structured recipe generation

Modern stack built with Next.js, Supabase Storage, and OpenAI APIs

Next.jsReactMaterial UISupabaseOpenAI API

Live Demo View Code

EnterpriseMobile

Android Marketplace

Full-featured e-commerce app for Android — built at Xolotl Creative Labs.

Marketplace app screenshot — Browse the Android store catalog

A production-grade Android marketplace built at Xolotl Creative Labs with full authentication, product catalog, cart management, and REST API integration. Shipped with real-time sync and Scrum-based delivery.

Full authentication flow with secure token management

100+ products in live catalog

Real-time order processing and sync

KotlinJavaAndroid StudioREST APIsScrum

EnterpriseE-commerce

AzulRK Shop

Production Shopify store with multi-market setup for Mexico and North America.

A production-ready Shopify store with multi-market setup for Mexico and North America. Integrated Zendrop for automated fulfillment and GA4 for real-time business insights and conversion tracking.

2 markets (Mexico + North America)

Automated fulfillment via Zendrop integration

GA4 tracking for conversion optimization

ShopifyShopify MarketsZendropGA4

Visit Store

Enterprise AI Product Design

The Signature Experience

Luxury fragrance confidence system for identity-first discovery, ritualized comparison, and long-term loyalty.

The Signature Experience onboarding questionnaire for scent identity — Identity-first onboarding flow

Decode Me transition and profile interpretation

The Signature Experience scent mirror with visual aura scales — Interactive Scent Mirror

The Signature Experience skin and scent fit questionnaire — Skin and Scent Fit refinement

The Signature Experience signature ritual fragrance selection screen — Signature Ritual selection experience

The Signature Experience confidence scores and fragrance comparison — Live confidence scores and comparison

The Signature Experience final signature fragrance confirmation — Signature confirmation and result state

Aura Card shareable identity asset

The Signature Experience fragrance wardrobe and growth system — Grow With Me wardrobe system

An immersive fragrance discovery experience designed for L'Oréal Luxe. The product turns trend-led guesswork into an identity-driven journey with interactive profiling, live confidence scores, side-by-side fragrance comparison, scent wardrobe logic, and post-selection feedback loops.

10-stage product journey from onboarding to refill and loyalty

Real-time recommendation logic with live confidence scoring and sensitivity mode

Retention-ready foundation with analytics, email capture, local persistence, and feedback tracking

ReactTypeScriptViteFramer MotionReact RouterVercel AnalyticsUX Strategy

Live Demo View Code

What's next

Now programming

I am currently programming a native iOS product for tracking movies and series through memory, mood, context, and selective sharing with a close circle.

Native Apple experience in progress

SwiftUI · SwiftData · Firebase · Firestore

This build is where I am deepening my iOS skills: local-first persistence, Firebase authentication, Firestore sync, validation, private sharing models, and tested recommendation logic.

Done

Definition

The product direction is defined: a private, mood-aware way to remember movies and series before turning it into a public portfolio case.

Done

UX foundation

The core flows are mapped around onboarding, personal history, fast capture, settings, and selective sharing.

Current

Programming

I am implementing the native app in SwiftUI with SwiftData, Firebase Auth, Firestore, sync queues, and unit-tested domain logic.

Testing

The next step is deeper UI coverage, device testing, edge-case validation, and sync refinement.

Final

Portfolio reveal

Once the app is polished enough, I will add it as a full project with screenshots, architecture notes, and launch status.