I am an Artificial Intelligence Research Engineer focused on applying GenAI and Agentic AI to optimize production, development, and CI/CD pipelines in financial services and healthcare. I have hands-on experience integrating AI with LangChain, LangGraph, and LlamaIndex into Azure and AWS to deliver scalable production solutions. I am proficient in Python, Shell scripting, SQL, and DevOps tools like GitHub Actions, Azure DevOps, and Jenkins.\n\nI enjoy collaborating with cross-functional teams and stakeholders to translate complex AI concepts into practical features. I design intelligent agents for automation, implement AI Ops in cloud environments, and continuously improve SDLC workflows for faster, more reliable deployments.

Vasanthkumar Ramamoorthi

I am an Artificial Intelligence Research Engineer focused on applying GenAI and Agentic AI to optimize production, development, and CI/CD pipelines in financial services and healthcare. I have hands-on experience integrating AI with LangChain, LangGraph, and LlamaIndex into Azure and AWS to deliver scalable production solutions. I am proficient in Python, Shell scripting, SQL, and DevOps tools like GitHub Actions, Azure DevOps, and Jenkins.\n\nI enjoy collaborating with cross-functional teams and stakeholders to translate complex AI concepts into practical features. I design intelligent agents for automation, implement AI Ops in cloud environments, and continuously improve SDLC workflows for faster, more reliable deployments.

Available to hire

I am an Artificial Intelligence Research Engineer focused on applying GenAI and Agentic AI to optimize production, development, and CI/CD pipelines in financial services and healthcare. I have hands-on experience integrating AI with LangChain, LangGraph, and LlamaIndex into Azure and AWS to deliver scalable production solutions. I am proficient in Python, Shell scripting, SQL, and DevOps tools like GitHub Actions, Azure DevOps, and Jenkins.\n\nI enjoy collaborating with cross-functional teams and stakeholders to translate complex AI concepts into practical features. I design intelligent agents for automation, implement AI Ops in cloud environments, and continuously improve SDLC workflows for faster, more reliable deployments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Artificial Intelligence Research Engineer at WERSEC Inc.
June 1, 2025 - Present
Apply AI and GenAI techniques to improve software CI/CD pipeline, code quality checks and automated testing process. Design and deploy GenAI-based agents using LangChain and LangGraph to improve speed and accuracy by 86% compared to the automation process. Integrate AI solutions into SDLC workflows to enhance efficiency and reduce manual effort by 40%. Implement AI Ops solutions in the Azure cloud for scalability. Collaborate with senior engineers to understand product needs and work with stakeholders to implement AI enhancements.
Artificial Intelligence Engineer and Research Intern at WERSEC Inc.
January 1, 2024 - May 1, 2025
Provided AI solutions and migrated the complete project to the Microsoft Azure cloud for better performance, increasing production efficiency and customer rate by 65%. Researched automation solutions to boost product performance and scalability. Leveraged Microsoft Copilot Studio to develop intelligent agents for production automation and CI/CD monitoring.
Microsoft Copilot AI Intern at ByteSimplified
May 1, 2024 - August 1, 2025
Designed and developed AI agents using Microsoft Copilot Studio and Azure in the payment feature, enabling natural language interaction with user data to process the checkout in production. Configured actions and fine-tuned Copilot agents for higher accuracy and reliability in the checkout process, increasing sales by 40%. Integrated the Copilot agents with Microsoft 365 apps to streamline production and team workflows. Enhanced system accuracy by configuring custom triggers and fine-tuning LLM responses.
Program Developer at Cognizant Technology Solutions – Johns Hopkins Healthcare (JHHC)
September 1, 2022 - August 1, 2023
Developed and maintained software products related to the health care claim sector using Python, Django, SQL and shell scripting, serving 10,000+ users worldwide. Created automation scripts and collaborated across functional teams to improve the SDLC process. Improved system performance by 30% through monitoring and Docker-based containerization.
Research Intern at Cognizant Technology Solutions
December 1, 2021 - August 1, 2022
Learned new technologies related to Python frameworks; developed Python scripts for ML model development for email processing automations. Collaborated with software developers to include version control, testing and performance optimization for the product. Built expertise in system design and optimization techniques for production environments.

Education

Master of Science in Computer Science (STEM) at DePaul University
September 1, 2023 - November 1, 2025

Qualifications

AWS Certified AI Practitioner
January 11, 2030 - January 27, 2026
AWS Certified Machine Learning Engineer – Associate
January 11, 2030 - January 27, 2026
Microsoft Certified: Python Developer
January 11, 2030 - January 27, 2026
Google – AI Essentials
January 11, 2030 - January 27, 2026

Industry Experience

Healthcare, Software & Internet, Financial Services, Professional Services, Media & Entertainment