Matheus – Python, React, AWS

Building the most comprehensive database of electricity prices in Europe.

• Developed front-end and back-end architecture from scratch;
• Implemented modules to establish pricing mechanisms of spot pricing and tariffs in Europe.
• Orchestrated all infrastructure setup on Azure;
• Established and managed a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline, including unit testing, end-to-end tests, and automated testing.

A smart tool for background casting and vouchers.

• Migrating legacy React UI components to storybook;
• Doing major node updates in the react applications
• Implementing GitHub actions pipeline for testing;
• Migrating of email provider from Hubspot to Sendgrid that involves the implementation of webhooks;
• Working on UI fixes in styles, alignment, and positions;
• Creating multiple back-end endpoints.

A U.S.-based company focused on improving indoor air quality through a direct-to-consumer model. Founded in 2012, it manufactures and delivers replacement air filters for homes and businesses, offering over 600 sizes and custom options to fit any HVAC system. With facilities in Alabama, Florida, Pennsylvania, and Utah, the company employs nearly 1,000 people and emphasizes American-made products, community investment, and personal service. Its mission is to provide premium air filters at competitive prices, shipped directly from the factory to customers, ensuring clean, pollutant-free indoor air. The company also features a Partner Program, enabling individuals to earn money by referring customers, highlighting its commitment to affordability, convenience, and customer satisfaction.

• Helped with the migration of the legacy frontend code base to React;
• Added new features to their main admin system;
• Redesigned the main shipping apis with FedEx and UPS;
• Migrated from old Django views to modern REST framework APIs.

This is a leading data platform that accelerates AI development by providing high-quality training data, labeling services, and automation tools. They partner with enterprises across industries to streamline AI workflows, enhance model accuracy, and drive innovative machine-learning solutions.

• Optimized model architectures and fine-tuned parameters to enhance performance, accuracy, and reliability;
• Created and refined prompts to streamline annotation and labeling processes, boosting data quality for improved model outcomes;
• Used a systematic approach for categorizing model errors, enabling targeted improvements and iterative feedback loops to elevate precision;
• Monitored outputs to identify and address anomalies, ensuring consistent model performance and mitigating potential failures early;
• Conducted comparative evaluations of model versions to quantify improvements, benchmark accuracy, and validate performance gains;
• Assessed the logical consistency of AI outputs, diagnosing areas of weakness and guiding enhancements in model reasoning;
• Collaborated with the quality assurance team to review Reinforcement Learning from Human Feedback (RLHF) data, ensuring alignment with guidelines and reinforcing ethical, high-quality outcomes.

Tailored promotions seamlessly incorporated into the diverse communities of a platform, aiming at enhancing reach and impact effectively.

Matheus has succeeded in the following, among others:

• Deprecated advertiser level funding;
• Rolled out employee funds 2.0;
• Implemented limit system 2.0 for billing accuracy;
• Implemented credit line application process;
• Implemented consolidated billing page;
• Implemented schedule funding tool;
• Conducted bug fixes and implemented small improvements to the admin interface;
• Collaborated with the Ads Revenue Lifecycle team (Billing).

A comprehensive platform serving the construction industry in Brazil, offering features for various stakeholders.It allows users to request price quotes, apply for jobs, discover suppliers, and connect with highly-rated professionals.

Matheus has contributed the following:

• Developed front-end and back-end architecture from scratch;
• Implemented modules to establish pricing mechanisms and facilitate connections between buyers and suppliers;
• Orchestrated all infrastructure setup on AWS;
• Established and managed a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline, including unit testing, end-to-end tests, and automated testing;
• Led the development team, overseeing task assignments and coordinating all Scrum ceremonies;
• Orchestrated the deployment of the application to Google Play Store and Apple App Store (PWA);
• Integrated the platform seamlessly with Obra Prima, Brazil's largest ERP system for small to medium-sized construction firms;
• Conceptualized and designed the database schema from scratch, accommodating over 150,000 unique companies (as of 2024);
• Successfully processed over 2.2 million BRL in transactions during 2022;
• Managed a high volume of daily quotations and orders, facilitating connections between buyers and suppliers.

A cutting-edge platform is transforming vehicle leasing in Brazil, seamlessly linking users with leasing companies and streamlining the process. Through innovative technology and strategic partnerships, the platform provides a user-friendly interface for browsing, booking, and managing rentals.

Matheus managed the following:

• Spearheaded the creation of the project, a cutting-edge car rental system facilitating seamless rentals in Brasilia and Goiania;
• Successfully managed a high volume of reservations, including partnerships with major players on the market;
• Developed the payment gateway interface with Vindi, ensuring secure and efficient transactions;
• Engineered the reservation backend for streamlined operations and enhanced user experience;
• Integrated the Serasa credit score system (Java 8) to assess and validate user credit profiles;
• Implemented natural person validation using Brazil government's DataValid service for enhanced security and compliance;
• Facilitated integration with the RDCar system for seamless collaboration with major rental companies;
• Collaborated closely to ensure a seamless user experience and efficient backend operations, prioritizing efficiency, reliability, and customer satisfaction.

A multinational electric utility headquartered in France plays a significant role in electricity generation, distribution, and sales worldwide. It focuses on providing reliable, sustainable energy solutions through nuclear and renewable sources like wind and solar power, serving millions of customers globally. Main goal: electrifying dance of technology and creativity shaping the future of building energy management.

Highlights from Matheus' input include the following:

• Transitioned from outdated Python 2 and Java code to modern Python 3 (Django) framework;
• Leveraged Modelica programming language for seamless co-simulations and dynamic thermal simulations;
• Implemented BuildSysPro for cluster-based execution, optimizing scalability and performance;
• Configured and scaled private servers using Docker containers for streamlined deployment and management;
• Developed an engaging HTML/CSS interface for improved user experience and accessibility;
• Integrated with Nexus Repository Manager, GitLab for version control, and EDF S3 (MinIO) for efficient data storage;
• Utilized Celery for task queue management, PostgreSQL for database management, and supported various OS systems including Ubuntu, Debian, CentOS, and Windows Server;
• Ensured security and compliance standards through PAM Servers and MS IIS on Windows Server;
• Positioned the project at the forefront of building energy management technology, driving innovation and optimization.