Mario-César – Python, React, JavaScript

A cloud-based platform that automates financial and inventory management for small businesses. The solution helps streamline day-to-day operations, improve efficiency, and support business growth through centralized process management.

• Led a team of 6 engineers to scale a retail platform that processed 3M monthly invoices using Python and Django.
• Reduced monthly cloud costs by 63% by migrating legacy services to AWS Lambda and optimizing RDS database instances.
• Cut infrastructure spending from 11.000 to 4.000 dollars by removing technical debt and improving AWS resource allocation.
• Built complex inventory systems and internal data apps using React and Streamlit to automate workflows for 1.000 stores.

An AI-powered platform that automates accounts receivable processes and cash flow forecasting for finance teams. The solution helps organizations improve collections, optimize liquidity, and make more informed financial decisions through intelligent automation and predictive insights.

• Accelerated data processing from 16 to 1.000 invoices per minute by optimizing legacy Python and Django systems.
• Enhanced cash flow visibility for enterprise clients by developing real time dashboards with React and PostgreSQL.
• Guaranteed high availability for critical financial tasks by managing production environments with Docker and Kubernetes on AWS.
• Increased prediction accuracy by 25% through the integration of OpenAI APIs to analyze system logs within machine learning pipelines.

A workflow automation platform that connects thousands of applications to automate repetitive tasks and synchronize data without requiring coding. The solution helps individuals and businesses streamline workflows, improve productivity, and reduce manual effort across a wide range of tools and services.

• Reduced engineering incident response times from 48 hours to 2 hours by implementing standardized fixes in TypeScript and JavaScript.
• Scaled and maintained over 400 third party integrations used by millions of customers using Python and Node.
• Optimized internal data communication and microservices reliability by designing schemas and interfaces with GraphQL and React.
• Automated serverless backend tasks using AWS Lambda and Docker to reduce infrastructure costs for high scale connectors.

A social media management platform designed for regulated industries, including banking, insurance, mortgage, and wealth management. The platform enables organizations to manage organic and paid social media campaigns, streamline content publishing and approval workflows, monitor performance through analytics, and maintain compliance with industry regulations.

• Developed and maintained backend services using Python and Django for a social media management platform.
• Built and enhanced frontend features with Vue.js and Vuex, delivering responsive and user-friendly interfaces.
• Integrated REST and social media APIs, including Facebook, X (Twitter), and LinkedIn.
• Designed and optimized PostgreSQL database queries and leveraged Redis to improve application performance.
• Containerized applications with Docker and supported deployments in AWS environments.
• Wrote and maintained unit tests to ensure code quality and application reliability.
• Collaborated with cross-functional teams in an Agile (Scrum) environment, participating in code reviews and sprint planning.
• Maintained and enhanced existing functionality while implementing new product features.