Principal Software Engineer

Projects: MTAG, Member Journey Application, Summary Generator. Role: Cloud Architect (Java, Python, .Net/ Generative & Conversational AI)

Project #1: In the fast-paced environment of enterprise support, advocates and agents often face the challenge of multitasking during live customer calls. They must simultaneously manage various applications to obtain caller information, take notes, and document call summaries, which can be both time-consuming and detrimental to their efficiency. To address this issue, we expertly designed the Call Summary Generator Platform Component. This innovative solution harnesses the power of Generative AI, driven by Large Language Models (LLMs), to create real-time call summaries from transcripts and configuration data obtained from the Conversational Advancement Transcription and eventing service. Seamlessly integrated with the Azure OpenAI LLM service, the platform processes the necessary prompts and transcripts, generating a call summary that enables agents to concentrate their full attention on providing exceptional customer support. This streamlined approach significantly improves communication and collaboration within the organization.

Project #2: Identify utilization of advocacy services across various E&I national accounts to help and optimize where the program can better connect with the right members about the right services. The application aims to provide tooling that will enable adhoc analysis and can help E&I advocacy advanced analytics team to provide inputs to the Advocacy program design to enable better sales and to propose adjustments to any of the internal business processes.

• Architecture design (Application, DevOps, Security) for various enterprise CAIP applications
• Implemented Various Azure cognitive services like Vision for OCR purpose / Speech (speech to Text and text analytics API for sentiment analysis) / Language (Text Analytics for Sentiment Analysis) API. Speaker recognition, QnA Maker, LUIS, Bot Framework and Composer etc
• Explored and implemented various LLM frameworks including Lang chain, Flowwise and Langsmith, Semantic Kernal, PVA Generative Actions etc in CAIP
• Involved in coding using .Net core/ Java / Python / Node.js based projects, Unit Test cases. Code Reviews
• Various Open AI (ChatGPT 3.5 / 4.0) use case implementation in multiple projects specially for content summarization
• Solution design for multiple Java / .Net and azure based cloud native micro-service application, Deployment for api/application using Docker containers/Jenkins pipeline
• Explored various Conversational SAAS platform from various cloud provider like Power Platform Copilot and Google DialogFlow CX, Amazon Lex
• Interaction with client, team members and senior management on daily basis

Projects: American Express Campaign Management System (CMS), Wisconsin Physicians Service Provider Load & Facets Upgrade, Johnson Controls Metasys Adaptor and PubSubHub Protocol

• Development and migration of applications using C#, ASP.NET MVC, Azure cloud services
• Architecture design and implementation of cloud-based solutions
• Integration with various Azure services including Storage, Service Bus, and Worker/Web Roles
• Development of business logic and automated deployment processes
• Implementation of unit testing and quality assurance practices
• Client interaction and Agile methodology implementation

Project: PDR (Patient Data Reporting)

• Developed Business Intelligence tool for multi-level decision-making
• Migrated Medefinance windows service from VS2003 to VS2008
• Implemented LINQ to XML and created customized Report Viewer framework
• Managed SQL Server databases and reporting services
• Performed code compliance, performance and integration testing

Project: TDS (Tax Deduction on Source)

• Developed windows-based tax deduction calculation system
• Created specification and design documents
• Implemented application using VB.Net and C#
• Managed SQL Server database and Crystal Reports
• Performed testing and client interaction