Arulvelu G.

Automation & AI Engineer

10+ years building scalable, event-driven automation systems across enterprise environments.

I design and build intelligent automation systems that combine AI, APIs, and event-driven architectures to eliminate manual operations at scale.

My work focuses on transforming enterprise workflows into self-operating systems—reducing human effort, improving reliability, and enabling faster decision-making.

Education

  • M.S. Software Systems – BITS Pilani
  • B.E. Electrical & Electronics

Certifications

Azure AI Engineer AssociateKubernetes AdministrationPowerShell Automation

Awards

Tesco – Outstanding AutomationHexaware – AI InnovationCognizant – Outstanding Performance

AI & Intelligent Automation

Designing LLM-powered systems for classification, summarization, and decision automation → replacing manual workflows with intelligent pipelines.

Event-Driven Automation

Building real-time automation using Kafka and StackStorm → enabling instant system responses across enterprise platforms.

AI Chatbot Systems

Developing AI-driven chatbots and self-healing systems → reducing IT workload and improving user experience.

Cloud & Infrastructure Automation

Automating infrastructure with Terraform, Ansible, Docker, Kubernetes → enabling scalable and zero-touch deployments.

Career Journey

Experience building enterprise automation and AI systems.

Workflow Automation Engineer

Tesco
2020 – Present
  • Built enterprise-scale automation systems across IT and business workflows
  • Designed AI-driven pipelines using Azure OpenAI for classification and decision automation
  • Implemented real-time event processing using Apache Kafka

Chatbot & Automation Developer

Hexaware Technologies
2017 – 2020
  • Developed AI-powered chatbots using Python, Node.js, Dialogflow, LUIS
  • Built self-healing IT automation systems
  • Reduced helpdesk workload by 60%

Automation Engineer

Cognizant (CTS)
2015 – 2017
  • Developed automation scripts and workflows for IT operations
  • Built event-driven automation using StackStorm
  • Reduced downtime and manual monitoring effort

Key Achievements

Measurable impact from automation and AI systems.

Automated reconciliation across 3,000+ stores → reduced effort by 80%

Reduced IT downtime by 90% through automated monitoring

Eliminated certificate renewal delays → reduced from days to minutes

Improved server performance by 40% via automated log management

Reduced manual IT workload by up to 95% across multiple initiatives

How I Design Systems

I approach automation as a system design problem—not just scripting tasks.

My goal is to build intelligent systems that can observe, decide, and act—minimizing human intervention and enabling self-operating workflows.

I focus on combining AI, event-driven architecture, and automation tools to create scalable and resilient systems.