Aravind Muthiah

DevOps Engineer | Chennai, India | July 2021 - Present

Project 1: Agile Delivery with Azure Boards and DevOps Automation

Duration: 1.4 Years
Technologies: Azure Boards, Azure Pipelines, Azure App Services, Key Vault, Application Insights

• Designed and implemented agile workflows using Azure Boards to manage Epics, Features, and User Stories, ensuring seamless progress tracking.
• Built and optimized YAML-based CI/CD pipelines in Azure Pipelines to automate testing, building, and deployment processes.
• Integrated Azure Key Vault to secure API keys, secrets, and certificates.
• Monitored performance with Application Insights, setting up custom telemetry for proactive diagnostics.
• Utilized Azure DevOps Repository for version control and team collaboration.

Key Achievements:

• Boosted sprint velocity by 30% through effective backlog management and sprint planning.
• Cut deployment lead times by 50% with automated multi-stage pipelines.
• Improved application stability by resolving issues identified through telemetry.

Duration: 1.2 Years
Technologies: AKS, Terraform, Azure Boards, Helm, ACR, Log Analytics

• Deployed containerized applications on AKS using Helm Charts for efficient configuration and management.
• Automated infrastructure with Terraform, ensuring consistent and repeatable environments.
• Managed sprints and task prioritization with Azure Boards for timely milestone delivery.
• Integrated Azure Container Registry (ACR) into CI/CD pipelines for secure image handling.
• Set up Log Analytics and Azure Monitor for real-time monitoring and alerts.

Key Achievements:

• Reduced deployment errors by 60% with Helm and ACR integrations.
• Achieved a 99.9% uptime SLA through robust monitoring and scaling strategies.
• Enhanced team collaboration with transparent progress tracking in Azure Boards.

Duration: 1 Year
Technologies: Azure Functions, Logic Apps, Event Grid, Azure Boards, Azure SQL, Cosmos DB

• Developed serverless workflows with Azure Functions for real-time data processing with sub-second latency.
• Orchestrated business processes using Logic Apps, integrating APIs and internal systems.
• Tracked project backlogs and sprint tasks in Azure Boards for cross-functional coordination.
• Used Event Grid for event-driven communication and Cosmos DB for scalable data storage.
• Configured Azure SQL and Azure Storage for efficient data management.

Key Achievements:

• Automated 70% of manual workflows, slashing processing times and overhead.
• Provided full visibility into sprint progress and dependencies with Azure Boards.
• Enabled real-time analytics by integrating Azure Monitor with serverless solutions.

Duration: 1 Year
Technologies: Azure AI Foundry, Machine Learning (AML), Cognitive Services, Databricks, AKS, VS Code, IntelliJ

• Designed and deployed an AI-driven coding assistant to streamline software development workflows.
• Utilized Azure AI Foundry, Machine Learning (AML), Cognitive Services, and Databricks for scalability.
• Implemented core functionalities:
  Code Generation: Context-aware suggestions for Python, JavaScript, and Terraform.
  Automation: Auto-generates boilerplate code, unit tests, and IaC scripts.
  Debugging: Real-time error detection and resolution suggestions.
  CI/CD Support: Automates YAML configurations for Azure DevOps.
• Curated and preprocessed datasets from internal codebases and DevOps playbooks.
• Fine-tuned LLMs using transfer learning, achieving 95% code suggestion relevance.
• Integrated into IDEs (VS Code, IntelliJ) via APIs and WebSockets.
• Deployed on Azure Kubernetes Service (AKS) for low-latency performance.
• Built a feedback loop for continuous model improvement.
• Achieved 25% faster development and 15% fewer bugs.
• Ensured security with RBAC, Azure Key Vault encryption, and GDPR/SOC 2 compliance.
• Developed an intuitive IDE interface with smart context switching.

Software Developer | Chennai, India | November 2016 - February 2019

• Contributed to the full software development life cycle (SDLC), including requirements gathering, design, development, testing, and deployment, with an emphasis on streamlining processes for faster and more reliable releases.
• Automated repetitive tasks using Bash and Python scripts, reducing manual effort by 25% and ensuring error-free data processing and report generation.
• Implemented foundational CI/CD pipelines using Jenkins, automating build and deployment workflows, which shortened deployment cycles by 20%.
• Designed and maintained SQL database objects (tables, views, materialized views), optimizing performance and supporting scalable data management.
• Partnered with operations teams to facilitate seamless deployments, troubleshoot infrastructure issues, and align development with production needs.
• Configured automated monitoring and alerting systems to generate timely reports and email notifications, boosting system uptime by 15%.
• Built reusable, scalable code for distributed cloud environments, enhancing application reliability and performance in cloud-based deployments.