Architected and maintained 12+ RESTful APIs supporting digital banking platforms serving 15K+ active customers across lending and equipment finance products.
Engineered backend integrations between nCino, Salesforce, and core banking systems, reducing data reconciliation errors by 30% and improving transaction processing latency by 20%.
Led development of the Great America Equipment Finance API, automating high-volume equipment finance transactions and eliminating manual data entry workflows.
Engineered Java-based components to enhance API orchestration, decreasing integration failures by 25% and improving production release stability.
Collaborated with QA and DevOps teams in Agile sprints (2-week cycles) to perform integration testing, root-cause analysis, and production validation.
Deployed and monitored 5+ APIs to cloud environments, contributing to CI/CD pipelines and reducing release cycle time by 15%.
Technical Development Analyst
Trustmark National Bank
Jackson, MS
01.2024 - 06.2025
Played a key role in the Digital Banking Team by developing and supporting 10+ RESTful services using MuleSoft and Java for enterprise banking applications.
Delivered a Core REST API endpoint integrating with Collibra Data Governance Center, improving data governance automation.
Optimized SQL queries and database operations, improving backend response time by 18% under peak load.
Leveraged Salesforce and nCino to enhance customer relationship management and streamline loan processing.
Utilized Python scripts to automate data validation tasks, optimized integration workflows, and supported data transformation, reducing manual verification time by 40% and improving data accuracy.
Contributed to cloud-based deployments and integrations, focusing on building scalable solutions with Java.
Undergraduate Research Assistant
Department of CSE, Mississippi State University - Dr. Zhiqian Chen
Starkville, MS
11.2022 - 05.2023
Conducted research on multilayer network modeling to analyze COVID-19 spread and misinformation patterns.
Constructed Python-based data pipelines and applied statistical modeling techniques.
Analyzed NumPy and data analysis libraries for large-scale dataset evaluation.
Education
Master of Science - Computer Science, Concentration in Interactive Intelligence