Portfolio

Selected Products, AI Tools & Frontend Systems

Projects built across hackathons, enterprise work, mobile development, and self-directed product experiments — from award-winning AI tools to production-minded interfaces.

2nd Place · HDC Brasil 2025 Award-winning AI Product

HoneyRoute

Offline-first apiary intelligence PWA for hive health monitoring and beekeeper decision support.

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 AI-assisted, offline-first PWA designed for beekeepers working in low-connectivity rural environments. Built in 48 hours at HDC Brasil, it combines hive records, health observations, diagnostic evidence, and recommendation flows into a practical field tool.

Offline-first PWA designed for rural beekeeping workflows

AI-assisted diagnostics for hive health observations and recommendations

48-hour build from concept to working competition prototype

ReactNode.jsPWAAI/MLHuawei Cloud

View Code

2nd Place · HDC México 2024 Award-winning AI Product

EcoVentus

UAV mission planning and monitoring platform for environmental intelligence.

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, live monitoring, and analytics. Built in 48 hours at HDC México, the system explored how drone operations could support precision agriculture, environmental monitoring, and mission-level decision support.

Mission planning with map-based route visualization

48-hour build from concept to working dashboard

Real-time monitoring interface for UAV operations

Next.jsReactPythonFlaskMongoDBLeafletHuawei Cloud

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AI Product Frontend System Product Design

The Signature Experience

Luxury fragrance discovery system for identity-first recommendations and comparison flows.

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

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 refinement

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

The Signature Experience confidence scores and fragrance comparison — Confidence scoring

The Signature Experience final signature fragrance confirmation — Signature confirmation

Aura Card profile

The Signature Experience fragrance wardrobe and growth system — Fragrance wardrobe

An immersive fragrance discovery experience designed around identity, comparison, and confidence. The product turns preference discovery into a guided frontend journey with interactive profiling, confidence scoring, scent comparison, wardrobe logic, and post-selection feedback loops.

10-stage journey from onboarding to loyalty flow

Recommendation logic with profile-based confidence scoring

Retention-ready UX with email capture, local persistence, and feedback loops

ReactTypeScriptViteFramer MotionReact RouterVercel AnalyticsUX Strategy

Live Demo View Code

Top 12 · HackNation Award-winning AI Product

CongestionAI

Traffic-aware departure planning for smarter mobility decisions.

CongestionAI result tab with best departure recommendation and ETA — Best departure recommendation

CongestionAI result tab showing route alternatives and congestion insights — Route alternatives

CongestionAI forecast tab with future departure recommendations — 72-hour forecast

CongestionAI history tab with saved trips and performance trends — Saved trip history

CongestionAI settings tab with planner defaults and savings preferences — Planner settings

CongestionAI forecast and heatmap visualization — Forecast heatmap

CongestionAI settings and trip personalization panel — Personalization panel

CongestionAI is a mobility planning web app that helps drivers decide when to leave, not just which route to take. It compares departure windows, estimates traffic-aware ETA, scores congestion risk, and highlights savings in time, fuel, money, and CO2.

72-hour forecast for flexible trip planning

ETA sampling powered by Google Routes API

Top 12 HackNation competition placement

Next.jsReactTypeScriptGoogle Routes APIGoogle Places APIRisk Scoring

Live Demo View Code

AI Product Frontend System

BlueShelf AI

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

BlueShelf AI item inventory view — Item status view

BlueShelf AI product detection screen — AI-assisted product detection

BlueShelf AI recipe suggestion screen — Recipe suggestions

BlueShelf AI pantry recommendations — Pantry recommendations

BlueShelf AI personalized pantry recommendations — Personalized recommendations

BlueShelf AI inventory insight screen — Inventory insights

BlueShelf AI product management screen — Product management

BlueShelf AI recipe and pantry planning screen — Pantry planning

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

Full CRUD product and stock management

AI-assisted analysis for product photos and recipe generation

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

Next.jsReactMaterial UISupabaseOpenAI API

Live Demo View Code

Professional Work Mobile

Android Commerce Platform

Client marketplace app built at Xolotl Creative Labs with authentication, catalog, cart, and order flows.

Android commerce app catalog screen — Catalog browsing

Android commerce app product details screen — Product details

Android commerce app cart and checkout flow — Cart and checkout flow

Android commerce app order management screen — Order management

Android commerce app order status screen — Order status flow

A professional Android marketplace build developed at Xolotl Creative Labs. I contributed to core customer-facing flows including authentication, product catalog browsing, cart management, order processing, and REST API integration within a Scrum-based delivery process.

Authentication flow for customer access and session handling

Commerce flows across catalog, cart, and order management

Team delivery with REST API collaboration and Scrum ceremonies

KotlinJavaAndroid StudioREST APIsScrum

Client project — public code/demo not available

Independent iOS product

CloseCut — Internal TestFlight beta

CloseCut is a private, local-first iOS Journal for movies and series, built around memories, moods, trusted Circles, and better watch decisions.

CloseCut

SwiftUI · SwiftData · Firebase · TMDB

The current beta combines local-first persistence, SwiftUI and SwiftData with supported Firebase synchronization, explicit Circle sharing, and a personal Timeline.

View CloseCut → Join TestFlight

Done

Product definition

The product direction is clear: a private, mood-aware way to remember what I watch, when I watched it, and why it mattered.

Done

UX foundation

Core flows are mapped around onboarding, quick past-watch capture, entry details, personal timeline, settings, and close-circle sharing.

Done

Core iOS build

The current build includes SwiftUI screens, SwiftData models, Firebase authentication, supported synchronization, form validation, and the app's core domain logic.

Current

Internal TestFlight beta

Testers can now explore the product while device testing, synchronization edge cases, private Circles, and product polish continue to be refined.

Case study reveal

Once the app is polished enough, I will publish it as a full portfolio case with screenshots, architecture notes, launch status, and product learnings.