Newark, New Jersey, United States
• -- Key Accomplishments ---
AI Invoice Data Extraction:
• Key Result: Automated processing of 100,000 vendor invoices per year and achieved greater than 80%
standard repair determination accuracy and precision.
• Helped develop an AI solution which utilizes an Azure Document Intelligence (Optical Character
Recognition) OCR engine for text extraction and Azure Open AI GPT-4o LLM with Retrieval Augmented
Generation (RAG) for accurate semantic reasoning.
• Lead the development of multiple APIs in C#, sending and receiving data in JSON format, to integrate the custom AI solution with the company’s CRM system.
• Established CI/CD pipelines for test and production code branches in Microsoft
Azure DevOps for enhanced automation and code deployment reliability.
• Developed a feedback collection API which sends correction data to the AI system in JSON format and
stores it in an Azure Cosmos DB database for iterative improvement over time.
Ancillary Meter Billing Automation:
• Key Result: Spearheaded automation of a manual billing process driving 8 figures in annual revenue for the entire lease fleet, and optimized the average time to bill meters every month from 44 hours to 6 hours per specialist (87%).
• Lead the development of multiple APIs in C# which algorithmically calculates the ancillary meter usage to bill the customer every month.
• Developed a full stack web application in C# and JavaScript to allow drivers and customers to submit meter readings through their mobile device and desktop.
Digital Preventative Maintenance Inspection Development:
• Key Result: Completely digitized a physical paper inspection process for 20,000+ trailer inspections a year and significantly improved business data automation, efficiency, and compliance.
• Developed a full-stack .NET web application using C# and JavaScript for field technicians to submit trailer inspection data digitally.
