Alexandre – Node.js, Angular, React

An app to manage calls from a call center, where, from a business standing point, the user accessing the app could see lots of complex reports being imported from QuickBooks where the agents were picking up calls and calculating these minuting formulas and generating automated invoices, saving the stakeholders time of managing and creating that on their own.

• Created complex reports for future forecasting;
• Created module where the stakeholders could foresee and based on past calculations, they could see the future earnings in a complex projection;
• Created the invoicing automation that pulls in minuting data from the call center and calculate it in order to bill clients proactively and with no manual user interaction;
• Prepared the app for regression proof and complex data migration whenever needed as it was needed to replace the call center main calling app.

An app designed to publish any sort of AD and campaigns through social media integrated in a single place, where the goal was to have campaign and paid traffic managers to have their subscription to the app and manage their social media campaigns.

• Implemented the META integration with the app where through the platform, the user could publish video ADs on YouTube and meta;
• At YouTube, along with another developer, implemented automations to, using Puppeteer, access the page as a bot and do step-by-step publishes until the user could get his video posted in an ad campaign.

This is a forum where crypto investors share powerful insights about the crypto world and drive changes based on what they are overseeing in the crypto world. Users are allowed to become members of the forum, where they can see restricted content, which tends to be more premium content posted to members only. Users also have the option to remain public users, which does not have any premium features.

• Created mobile-first designs;
• Created curation modules for Twitter posts and the backend for them;
• Created server-side rendering components along with client-side rendering components alternatives for the Twitter modules;
• Wrote unit tests for all components created;
• Integrated multiple third-party tools for analytics and error monitoring, such as sentry, posthog and hotjar;
• Helped create a team approach to work so they could build a sustainable development cycle for the whole team;

Their internal product aims to help digital marketers in the music industry to help them promote their artists in a way that speeds it up and turns their work creating ad campaigns and ads in all social media one click away.

• Created front-end and back-end features along with architectural improvements;
• Created all features in regard of ad integrations to META (FACEBOOK);
• Created front-end components to enable the platform usage with ease of operation;
• Improved the team process with tasks and work documentation based on business approval and acknowledgment;
• Helped the team to better create a local environment by actively creating policies and suggesting improvements;
• Created the main foundation for the entire campaign automation architecture.

The platform where investors look out for buying new companies or properties from the public web or internally published companies/properties. It uses integration with OpenAI to generate value and organize data to better describe to an investor why he should purchase companies or properties listed by the platform.

• Created evaluation tools for companies and properties;
• Created a file storage to enable users to communicate by sending files to each other;
• Created a thread discussion ability to enable sellers to actively to communicate with buyers while requesting business information from one to another;
• Created and enhanced views to enable users to actively create and customize checklists for business evaluation.

The company's main business model is selling 3D models to e-commerce and retailers. The page that can be found via a provided link demonstrates how an e-commerce dashboard full of products would look like with their 3D models and how beneficial it is to enrich the customer experience with 3D applications. The application has facial recognition solutions to dispose of 3D glasses using cellphone cameras and web cameras, using facial recognition neural networks. The 3D effects are built based on Three.js. Also worked with WebGL to inject assembly code to make the graphics rendering softer to the graphics card running within the browser.

• Created Front-End and Back-End first API and client relationship design;
• Implemented an AI solution for face recognition and for the disposal of 3D models with face recognition;
• Worked on the AI Development and Research team and led the team for over a year, overseeing the production of the first prototypes;
• Created internal features for retailers and customers;
• Contributed with the embeddable content to import scripts and reuse technologies to display 3D models and their galleries in lightweight code.

In the context of the client-business relationship, the client had multiple systems for doing almost the same process but aimed at different products. One system managed the service's provision and the other - products. This product was a unified system created to address every income-source kind of product, such as services and individual products, all in one place.

• Created microservices to manage products and services, integrating database translation from both legacy databases;
• Implemented ETL microservice to translate no relational data to PowerBI relational data;
• Worked on the code flow to build a system with fewer requests per needed interaction. Made all data load under even driven architecture or sockets since every product needed to be asynchronously dependent on a single interaction instead of multiple access to each product's data;
• Created CICD pipelines using Azure DevOps for each repository, connecting them to each cloud provider;
• Created environmental variables segregation to support multiple environmental deployments.

The system is a digital technology hub and a space for mentor-mentee relationships. Whoever is a part of the system, decided to learn more about a specific topic, and wants to have a technical mentor, could select the stack and the availability and start the matching process with possible mentors.

• Created the matching criteria;
• Worked on the database segregations based on nations and time zones so that common schedules could be created based on the local time zone;
• Created integrations with third-party solutions providing enhanced code detections and clean code maintainability;
• Wrote unit tests for all microservices;
• Created CICD pipelines using Azure DevOps for each repository, connecting them to each cloud provider;
• Created environmental variables segregation to support multiple environmental deployments.