SOFTWARE ENGINEER | SUBMARINOBURSATIL.COM

Developed a PHP software automating 80% of US stock market company analysis, with a focus on creating technical indicators and converting raw financial data into accessible formats. Developed an AI-powered financial analysis platform automating 80% of US stock market company analysis. Leveraged machine learning techniques to create technical indicators and transform raw financial data into actionable insights. Increased platform efficiency by 80% through automated market data processing pipelines using Python and cloud-based solutions like Azure Databricks Developed a custom AI-powered chatbot that integrates with email, chat, historical conversations, and WordPress for more targeted customer responses and improved financial advice. Utilized natural language processing and data cleaning techniques using Python and Azure Databricks notebooks. Reduced system downtime by 99.9% by architecting high-availability infrastructure serving 1,000+ active traders. Optimized database performance resulting in 40%. faster query response times for real-time trading data.