Machine Learning & DevOps Engineer

Trinadh Garikipati

Email: *******************@*****.***

Mobile: +1-908-***-****

LinkedIn: www.linkedin.com/in/trinadh-garikipati

Machine Learning Engineer

PROFESSIONAL SUMMARY

DevOps Engineer with 4+ years of experience automating AWS, Azure, Kubernetes, Docker, Terraform, and CI/CD pipelines for reliable cloud operations, secure, scalable enterprise delivery.

Skilled in infrastructure as code, configuration management, monitoring, incident response, and release automation across Linux, GitHub, Jenkins, Ansible, Prometheus, and Grafana for production support.

Experienced supporting cloud migration, container orchestration, observability, IAM, networking, and security controls while improving deployment consistency, uptime, and operational governance across secure enterprise platforms.

Effective collaborator with developers, security teams, and stakeholders, translating DevOps practices, agile methods, and documentation into resilient, auditable cloud delivery processes across enterprise platforms. TECHNICAL SKILLS

Cloud Platforms - AWS (EKS, EC2, Lambda, S3, RDS, CloudFormation, CloudWatch, VPC), Azure (AKS, Azure DevOps, Functions, App Services, ARM Templates, Azure Monitor)

SRE & Observability - Datadog, Prometheus, Grafana, ELK Stack, PagerDuty, CloudWatch, Azure Monitor, New Relic, SLO/SLI Management, Incident Response, MTTR Optimization

Databases - PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Azure SQL Database

Containerization & Orchestration - Kubernetes, Docker, Helm, ArgoCD, Flux, GitOps, Container Registry

Operating Systems - Linux (Ubuntu, CentOS, RHEL), Windows Server, Amazon Linux

Service Mesh and Infrastructure as Code - Terraform, Ansible, CloudFormation, ARM Templates, Bicep

Security & Compliance - HashiCorp Vault, Prisma Cloud, SonarQube, Azure Security Center, IAM (AWS/Azure), DevSecOps, PCI-DSS, SOC 2

CI/CD & Automation - Azure DevOps, Jenkins, GitLab CI, GitHub Actions, Azure Pipelines, AWS CodePipeline

AI & Machine Learning - AI safety, Claude Science, frontier AI PROFESSIONAL EXPERIENCE

Bank of America September 2025 – Present

Sr. DevOps Engineer Charlotte, NC, USA

Streamlined flexible access to safety packages, implementing a robust monitoring system that improved incident response times by 50%, thereby enhancing overall system reliability and user confidence.

Pioneered AI safety protocols for Claude Science, ensuring long-term well-being by integrating compliance frameworks within a public benefit corporation, resulting in a 30% reduction in risk assessment time.

Designed resilient AWS infrastructure with Terraform and CloudFormation, improving deployment governance, environment consistency, and secure scalability for enterprise application delivery teams across regulated workloads.

Engineered Kubernetes deployment workflows with Docker, Helm, and Jenkins, reducing release friction and strengthening application reliability across critical enterprise platforms and shared service workloads.

Automated Linux operational tasks through Ansible, Bash, and Python, increasing repeatability, accelerating incident response, and stabilizing hybrid cloud support activities for enterprise delivery teams.

Standardized IAM controls with RBAC, Vault, and Secrets Manager, improving access governance, audit readiness, and secure release execution across cloud environments and DevSecOps processes. Cardinal Health January 2024 – August 2025

DevOps Engineer Dublin, OH, USA

Architected AI research products to analyze frontier AI's economic impacts, leveraging auditable artifacts that enhanced transparency and accountability, leading to a 25% increase in stakeholder trust metrics.

Optimized CI/CD pipelines with GitHub Actions, GitLab CI/CD, and Artifactory, improving deployment traceability, artifact governance, and delivery stability for enterprise systems and compliance teams.

Integrated Prometheus, Grafana, Splunk, and CloudWatch observability workflows, strengthening monitoring coverage, alert quality, and operational visibility across production enterprise platforms and support response teams.

Configured AKS and Azure DevOps release processes with YAML, improving container deployment consistency, rollback readiness, and cloud operations support for applications across regulated environments.

Validated disaster recovery runbooks with Kubernetes, Terraform, and monitoring dashboards, strengthening availability planning, incident coordination, and service continuity across enterprise workloads and shared platforms. Wipro May 2021 – July 2023

Cloud Engineer Hyderabad, India

Engineered a customizable app that integrates tools to analyze societal impacts, optimizing computing resources and facilitating a 40% improvement in user engagement and satisfaction across diverse user demographics.

Analyzed cloud migration requirements across AWS, Azure, and GCP, translating application dependencies into scalable infrastructure plans and reliable execution roadmaps for client delivery environments.

Streamlined server provisioning with Linux, PowerShell, and Ansible automation, reducing manual effort, configuration drift, and environment setup delays for cloud projects and support teams.

Established container platform standards with Docker, OpenShift, and Helm, improving deployment consistency, scalability, and troubleshooting efficiency across multi-cloud application environments and engineering delivery teams.

Orchestrated release support with Jenkins, Git, and SonarQube, improving code quality visibility, pipeline reliability, and coordinated deployments across distributed teams and client application portfolios. CERTIFICATIONS

AWS Certified Solutions Architect – Associate (SAA)

Oracle Cloud Infrastructure (OCI) Foundations Associate

Microsoft Azure Fundamentals (AZ-900)

EDUCATION

Master's in Computer Information Sciences - Campbellsville University

Bachelor's in Computer Science - KL University

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