Software Developer - Cognitive Application Automation
CurrentI developed applications leveraging machine learning to revolutionize document processing for Veterans' benefits claims. Our team's cutting-edge solutions manage over 2 million documents monthly, marking a significant improvement in processing times – from 10 days to less than 24 hours.Key Skills:Kotlin, Python, AWS (Lambda, EC2, S3, SQS, CloudWatch, CodeBuild, CodeDeploy, CodePipeline), SQL, MongoDBKey Contributions:ETL Pipeline Architecture: Engineered and deployed ETL pipelines utilizing Optical Character Recognition (OCR) and Machine Learning (ML) to automate the processing of veterans' benefit claims. This work slashed the processing timeframe exponentially from 10 days to just 1.Serverless Application Development: Developed high-performance, scalable serverless applications in Kotlin, hosted on AWS. These applications facilitated the handling of approximately 2 million documents per month.My expertise with Lambda, EC2, S3, SQS, and CloudWatch CI/CD Pipeline Implementation: Orchestrated continuous integration and delivery (CI/CD) workflows, employing GitHub, Terraform, AWS CodeBuild, CodeDeploy, and CodePipeline.Cloud Services Integration: Fostered collaboration with cross-functional teams to seamlessly integrate cloud services.Database Management: Demonstrated proficiency in both SQL and NoSQL databases, adept at executing complex queries and managing data for performance metrics dashboards.