Things I've built and shipped, from my own products to apps I developed for companies.
My Products
Trackit! investor
Manage your personal investments, 100% offline.
Android
Trackit! investor is an app for managing personal investments. Register the products you sell, build compound products out of flat ones, get suggested prices to profit by a given percentage, and keep track of sales and customer payments — all with useful charts. The app is fully offline and does not collect any data: everything is stored locally on your device.
Register the products you invest in
Create compound products from flat products
Suggested prices to profit based on a specified percentage
Register sales and payments from customers
Charts with useful information about your business
Fully offline — your data never leaves your device
A social network where happiness is created, shared, and multiplied.
iOSAndroid
Joyward is more than a feed — it's a growing garden of positivity. Share what brings you joy, and watch others branch off with their own inspired posts, growing a tree of connected positivity. Built for iOS and Android as part of the team at Develop Capicua.
Create Joy Posts about anything that lights you up
Others branch off your posts with their own perspective
Corporate learning platform for courses and career paths.
iOSiPadOS
The Teachlr Organizaciones app gives teams mobile access to their corporate learning platform: lessons, videos, audios, articles, Google Docs, evaluations, activities, and surveys from their courses and career paths — with offline mode so learning never stops. I worked on this app at Teachlr.
L2D Driver Connect (Load2day) is a service for tanker truck drivers to view and save their BOLs, and to check load and order eligibility for each location and product before arriving at the terminal — so no trip is wasted. I worked on this app at Toptech Systems.
View and save BOLs
Check load and order eligibility by location and product
Quick feline pain assessment with on-device machine learning.
iOS
Tably allowed veterinarians and cat owners to assess observed pain in felines based on the Feline Grimace Scale. A live camera view ran an internally developed model that detected felines and produced a real-time pain prediction: 0 (no observable pain), 1 (mild to medium discomfort), or 2 (severe or chronic pain). Built with UIKit and OpenCV at Capicua for Sylvester.ai. No longer available on the App Store.
Live camera view with real-time feline detection
On-device ML pain assessment (Feline Grimace Scale)
