Aneesh Ramadoss

• ChatViatris is a global AI platform built with role-based access control (RBAC) and offers four key chatbot functionalities: Internal Documents Chatbot for secure access to internal content, Content Creation Chatbot to assist with generating diverse types of content, General Chatbot leveraging large language models with Bing search integration for broad inquiries, and Document Translation Chatbot to support multilingual translation needs. The global team manages development and end-to-end operations, with potential support areas including architecture, deployment, user management, feature enhancements, and monitoring strategies.
• MLR – Medical Legal Review
  We leverage Generative AI and Retrieval-Augmented Generation (RAG) to enhance the Medical Legal Review (MLR) process for promotional materials. The system is trained on product-specific medical data to automatically extract claims from sales materials, validate them against reference documents, and generate semantic justifications. It further supports the creation of structured annotations—such as linking source references and adding reviewer notes—seamlessly integrated into the Veeva system, ensuring accuracy, compliance, and efficiency in the review workflow.
• V-Coach is a real-time, voice-enabled application that helps pharmaceutical sales representatives prepare for medicine promotion by interacting with a virtual doctor persona. It validates their claims against FDA guidelines, raises compliance warnings for unsubstantiated information, and evaluates sales strategy and brand knowledge. Based on these assessments, V-Coach generates certification, ensuring reps are knowledgeable and compliant before engaging with customers. The system features low latency for smooth, responsive interactions.

An organization developed and implemented a unified virtual agent chatbot for IT management using ServiceNow and Azure OpenAI. This chatbot was created as a CIO initiative to improve natural language understanding and interaction capabilities. It's seamlessly integrated with the ServiceNow platform to automatically create and assign IT incidents based on historic data analysis, significantly reducing service request resolution times and enhancing employee satisfaction.

The solution has been rolled out globally and is accessible to all employees, including via mobile devices through its integration with Microsoft Teams. The chatbot can handle a variety of tasks, such as reporting IT and application issues, consuming ITSM (IT Service Management) and CMDB (Configuration Management Database) information, and facilitating approvals for both requests and change management. It also provides a centralized platform for querying knowledge articles related to IT processes.

The project leveraged a technology stack that includes ServiceNow Virtual Agent designer, Flow Designer, and various programming languages like JavaScript, PowerShell, and Python. It also utilizes several Azure AI Services, including Cognitive Search, Azure OpenAI, and Cosmos DB.

Other notable achievements and projects include:

• End-to-end automation for creating network access control lists across global data centers.
• A custom solution for monitoring Cisco video conferencing rooms, also integrated with ServiceNow.
• Automation of SharePoint access control for a large number of sites via a self-service model.
• Template lifecycle management for both on-premise and cloud virtual machine templates and AMIs.
• Automated disposal processes for virtual machines, adhering to GxP principles.
• Global automation for server and database patching.
• Automated monitoring and reporting for internal SSL certificate expiry.

As a team lead, I drove significant IT service improvements through strategic automation. I spearheaded a CIO initiative to develop a unified virtual agent chatbot with ServiceNow and Azure OpenAI, which dramatically cut service resolution times globally. Additionally, I led the creation of an end-to-end automation framework using ServiceNow Orchestrator, which automated server builds across various environments. I also managed the migration from IBM Netcool to ServiceNow ITOM and directed a large-scale CMDB implementation, enhancing our overall infrastructure management and compliance. My focus was on leveraging technology to standardize and improve processes.

As part of the Big Data Hadoop Platform as a Service, I was involved in the following activities: understanding the Big Data platform from the customer, building the preparation of the project plan, defining the tasks to be automated, and finalizing the tool set for automating. I developed Python scripts to provision AWS and Azure instances and wrote Ansible playbooks for agent configuration.

I then integrated these scripts into a Jenkins pipeline and built a complex monitoring solution for private networks using Zabbix. This platform, which also included auto-scaling, was delivered to multiple clients by following a sprint-based, feedback-driven release cycle. I also provided solutions and cost analysis for big data implementations using services like HDInsight and EMR.

As a cloud technical lead, I managed enterprise AWS and Azure accounts, providing solutions and handling daily infrastructure management. I architected and implemented a robust Azure disaster recovery solution using Azure Site Recovery and MSSQL Geo-Replication, achieving minimal RTO and RPO. I also delivered comprehensive automation for a Spotfire PaaS environment in Azure and AWS, including daily backups and an automated infrastructure build using ARM Templates and Azure PowerShell. Additionally, I implemented a cloud-native ETL solution with Azure Data Factory to streamline data consumption for our BI tools.

• As part of AH Team, we are owning the AH framework platform of whole Capgemini Managed services Infra Structure.
• As part of the AH team we managed around 80 customers across the globe which includes healing of all the incidents (CPU, Memory, Disk, Service and Server down).
• We are having our own AH Framework using the below technology stack.
• Create a New AH Framework for manage Auto heal incidents created by Multiple ITSM's (Remedy, SNOW, CASDM) and call the respective customer specific Action flows via multiple different Orchestrator or Standalone scripts.
• Technology Stack: PowerShell, Python, MFO Orchestrator, Jenkins, Service Now, Netcool, Tivoli, SCOM, MongoDB, Remedy.

• As a PowerShell developer, developed PowerShell scripts and integrated with System Center Orchestrator for automation.
• End to End Process of Change Management including CPU/ RAM Upgrade, VM Decommissioning, Physical and Blade Server Decommissioning, VM Rehome, Windows SQL Clustering for Microsoft Global Change Operation.
• Technology Stack: PowerShell, System Center Orchestrator, Hyper-V, Hyper-V clustering - HA, MS Service Management Automation, SCOM, SCCM.