At Naravo, I engineer backend infrastructure for an AI analytics service used by car dealerships. I built a FastAPI and Supabase data pipeline spanning sales, inventory, and service data, alongside optimized analytics SQL queries.
During my Treasury Engineering internship at the Federal Reserve Bank of St. Louis, I modernized certificate-management pipelines from a legacy codebase. I automated ACM certificate expiry workflows with AWS Lambda, EventBridge, and SNS alerts while helping maintain Treasury compliance.
Previously at Stat Courier, I designed Python and API-driven automation workflows to improve courier selection, data accuracy, and operational efficiency.
I also build blockchain and ML systems, including Kairos, a TRON trust-scoring protocol with XGBoost rug-prediction modeling, Solidity contracts, and real-time threat monitoring. My work spans Java, Python, SQL, TypeScript, AWS, Docker, machine learning, and AI agent systems.
