Ramakant Dwivedi

Principal Software Engineer with 21+ years of IT experience in designing and implementing large-scale applications and enterprise solutions.

Hands-on experience in software development, from the POC phase to deployment in production environments.

Delivered large scale, real-time, cloud-based solutions, analytical databases, exec-level dashboards, reporting, and Robotic Process Automation platforms.

Experienced Architect with excellent interpersonal, mentoring, research, and problem-solving skills with a passion for technology.

Experience in setting up and leading high performing teams for successful outcomes.

2+ years onsite (USA) experience on H1B visa.

Expertly designed the Call Summary Generator Platform Component using Generative AI, driven by Large Language Models (LLMs), to create real-time call summaries from transcripts.

Integrated with the Azure OpenAI LLM service to process prompts and transcripts, enabling agents to focus on customer support.

Identified utilization of advocacy services across various E&I national accounts to optimize connections with members.

Developed tooling for ad-hoc analysis to help the advocacy advanced analytics team provide inputs to program design and sales.

Architecture design for Application, DevOps, and Security for various enterprise CAIP applications.

Implemented Azure cognitive services including Vision (OCR), Speech (Speech to Text and Text Analytics), and Language (Sentiment Analysis) API.

Implemented Speaker recognition, QnA Maker, LUIS, Bot Framework, and Composer.

Explored and implemented LLM frameworks including LangChain, Flowwise, LangSmith, Semantic Kernel, and PVA Generative Actions.

Involved in coding using .Net Core, Java, Python, and Node.js based projects, unit test cases, and code reviews.

Implemented OpenAI (ChatGPT 3.5 / 4.0) use cases for content summarization.

Solution design for Java, .Net, and Azure-based cloud-native micro-service applications.

Deployed applications using Docker containers and Jenkins pipelines.

Explored conversational SaaS platforms including Power Platform Copilot, Google DialogFlow CX, and Amazon Lex.

Technologies: Cognitive Azure API, ML, AI, NLP, Tiger Graph Database, DevOps, Azure Core Services, Azure Storage, GIT, ReactJs, Java spring boot, K8s, Docker, Splunk, C#.Net, Python, Node.js, Terraform, Azure Databricks, Azure Data Factory, Power Automation, .Net Core, LLM Framework, Power Automate, Power Virtual Agent, Power Platform, Microsoft Bot Framework, Gen App AI Builder, Open AI API, Azure event hub, Amazon Lex.

Complexity analysis for existing process automations for various client processes.

Implemented Azure cognitive services for OCR and sentiment analysis.

Architecture design and security approvals as part of the Empirical core team.

Implemented DevOps CI/CD model for UiPath package deployment.

Solution designing for existing processes using multi-robot solutions including SDD, TDD, and test strategy.

Development of process automation using UiPath and Pega.

Deployed automated solutions in Azure IAAS and cloud (Azure Pack).

Creation and deployment of NLP models using Rake algorithms as a service.

Technologies: UiPath, Pega, Cognitive Azure API, ML, AI, NLP, QnAMaker, LUIS, Graph Database, DevOps, Azure Core Services, OpenShift, Azure Stack, GIT, ReactJs, Java spring boot, K8s, Docker, Splunk, C#.Net, Python, Power Automate.

Developed the Campaign Management System (CMS) for American Express to engage customers with deals and offers.

Migrated existing MVC based applications to Azure-based MVC applications.

Developed web-based tools using C#, ASP.Net MVC, SQL Server, Big Data, and HiveQL.

Technologies: C#, ASP.Net MVC 5, VS.NET 2013, SVN, SQL Server 2012, Hive, BigData, Bootstrap, WCF, Web API, Windows Azure, Telerik.

Worked on "Out of State Provider Load" and "Facets Upgrade" for Wisconsin Physicians Service.

Automated provider load from inbound 837 claim files to minimize manual intervention.

Performed Facets upgrade from version 4.81 to 5.10.

Developed various batch processes using C# and VB.Net.

Analyzed log files using HDInsight and Big Data, and created BI reports using Power Pivot.

Technologies: TriZetto FACETS 5.10, C#, VB.Net, VS.NET 2013, SQL Server 2012, Windows Azure, HDInsight, Hive, BigData, Web API.

Developed the Metasys Adaptor for Johnson Controls Inc. to mediate between Panoptix applications and the Metasys Service Bus.

Wrote business logic using Worker Role and Web Role.

Developed web applications using MVC 5.0 and C#.

Wrote code for reading and writing data within Azure Storage Tables, Blobs, Queues, and Service Bus Queues.

Automated deployment for Azure applications over Azure storage accounts.

Technologies: C#, VS.NET 2010, WCF, Web API, Windows Azure, Azure Service Bus, Azure Storage, MVC 5.0, JQuery, Bootstrap.

Implemented the PubSubHub Protocol for Johnson Controls Inc. based on PubSubHubbub for distributed communication.

Provided near-instant notifications of change updates to improve on typical polling situations.

Implementation of aggregated content distribution.

Technologies: C#, ASP.NET 4.0, VS.NET 2010, WCF, Windows Azure, Azure Service Bus, Azure Storage, MVC 4.0.