Antonio

Power E-Trade is a mobile App that focuses on real time trading of Futures and Stocks, powered by Morgan Stanley.

• Firebase Crashlytics: Analyzes and helps implement firebase for collecting errors and issues on the app which were caused by Non-responsive applications or bugs encountered on production.
• Market Depth features: Helps implement Market Depth Features, which allow traders to analyze the market and make buy and sell decisions.
• Push Notifications: Implements systems that allow to receive firebase-powered push notifications based on market changes and indicators, such as S&P 500.

Two Projects

First project: Rain 2.0: Cryptocurrency exchange services for Middle East, Dubai, Bahrain and United Arab Emirates.

• Know Your Customer: Creates the KYC systems that allow users from different regions to collect personal and financial information required by regulators.
• Portfolio: Added Jetpack Compose functionality for handling Cryptocurrency coins, indicators, UI elements and graphs.

Second project: Protégé Android App: Video Upload service for music, talent, and skills coaching from Artists and Producers to find emergent talent.

• Single Handedly created the entire App: Created the UI, repositories, Use cases and connections with Jetpack Compose, Apollo GraphQL and Room Databases.
• Unit Tests: Implemented Entire Unit Test on all ViewModels of the app using Mockk framework and JUnit.

Implementation of Firebase services for authentication, Database management and Front-end / App chat service with real time firebase database service and Implementation of scheduled and push notifications with firebase services.

• Construction of Menu: App for real-time sales monitoring on GINGroup restaurants and retail stores (Wendy’s, Carl’s Jr, La Mansion, Sugarfina, etc…)
• Construction of Readee: Magazine Hub for large magazine brands (Playboy, Donde Ir, Martha debayle Moi, Auto Bild, Mundo Ejecutivo, Elle, Quien, etc…)
• Construction of TiiM: App for urban transportation by urban van rental. Back-end service construction for calculation of haversine distances.
• Teament: Subscription based ERP Platform. Back-end Development

Created Image Processing systems and Deep Neural networks for microbiology projects in order to detect diseases.

• Construction of Deep Neural Networks from scratch.
• Application of Support Vector Machines on image descriptors.
• Construction of Auto-segmenters with Deep Neural Networks.
• Development of cascade classifiers based on convolutional neural networks.