As Lead Software Engineer, I support the development of automated Transportation Management Systems (TMS), focusing on version control management and innovative human-in-the-loop solutions to improve document processing accuracy. I developed a modular error notification system that enables real-time issue identification, promoting sustainable coding practices and system integrity. My responsibilities include creating a dynamic document processing pipeline that combines automation to support human productivity, enhancing accuracy, and establishing B2B integrations with client APIs to automate customer document workflows and increase productivity. Enhanced productivity by 300% increase for TMS users and reduced operating costs by 75% for supporting TMS clients.

As a Business Intelligence Developer at Clear Technologies, I supported the development of AI-driven image recognition models to detect defects in industrial transportation containers. I created user interfaces that made model insights accessible and actionable for clients. I also designed proof-of-concept models to validate the feasibility and accuracy of these AI solutions, directly supporting the deployment of safety-focused applications in industrial environments. My work advanced innovative AI solutions, improving defect detection processes and enhancing usability for end users in critical safety applications.

At Divergence AI, I played a key role in automating data workflows to improve decision-making and operational efficiency, utilizing Microsoft PowerApps and Power BI. My responsibilities included designing ETL processes for streamlined data ingestion and integrating Power BI dashboards, enabling actionable insights across the organization. I also developed PowerApps-driven applications to automate workflows, which increased productivity by reducing manual input and error rates. Additionally, I integrated database systems to ensure smooth data management across platforms, enhancing functionality and user experience in data-driven processes.