- Conceived, developed, and deployed algorithmic trading strategies on Brazilian equities using Python and MetaTrader.- Collected data and programmed backtesting algorithms.- Developed production-grade code, using version control, and deployed it to the cloud for execution.- Monitored execution metrics, responding swiftly to unexpected behavior.- Implemented continuous improvements to optimize trading algorithms and performance.- Designed hedging strategies and rebalancing mechanisms to manage risk and ensure portfolio stability.- Achieved an annualized Sharpe ratio of 5.10 with a maximum drawdown of 0.48% over the 10-month period from December 2023 to October 2024.- Currently focusing on enhancements through machine learning techniques.- Working on migrating from Python to MQL5 (C++ based language) to improve performance.

- Led a data migration between Salesforce orgs.- Improved system reliability with a stable data model.- Automated data processes using Python, achieving 100% accuracy in billing updates.- Built custom Salesforce solutions using Apex (Java-like).- Implemented cloud storage integrated with Salesforce for efficient document management.- Optimized billing with automated invoice generation.- Developed Python-based microservices on a serverless architecture.- Created data-driven reports and dashboards.- Contributed to a successful M&A, leading to Stella Energia's acquisition by Ultragaz in October 2022.

- Programmatically identified opportunities across Brazilian bonds and rates futures markets, generating returns above the risk-free rate.- Managed corporate bond portfolios, executing trades and hedging strategies.- Experienced in electronic and over-the-counter trading using Bloomberg Terminal.- Developed and maintained a company-wide dashboard for corporate bonds data.- Estimated market prices for new or illiquid instruments.- Built financial models for bond emission insights and swap rate estimation.- Adapted academic methodologies for performance attribution, interest rate curves, and pricing bonds with embedded options.- Worked with Risk Management to develop methodologies for valuing illiquid corporate bonds.- Collaborated with IT on corporate databases and systems.- Automated data collection using Python, SQL, and VBA.- Optimized reporting through automation.Note: Starting in June 2022, I began an unpaid leave from BNDES.

- Consulted with clients seeking financing or fair value assessments.- Conducted market research and defined key assumptions with clients.- Built financial models using Excel and VBA for DCF Valuation.- Produced reports to support clients' decision-making processes.