Vinod Reddy Billipalli

• Built AI-powered backend systems for clinical and billing data processing in healthcare using LLMs and secure cloud infrastructure.
• Developed scalable microservices using Python and Spring Boot to automate document workflows and AI integration.
• Integrated OpenAI LLM APIs with custom prompts to extract structured data from unstructured clinical notes and invoices.
• Designed semantic search engines using Redis and Elasticsearch, improving document retrieval speeds by 25%.
• Explored GPT-4 and Meta LLaMA for synthetic data generation and AI model validation in sandboxed environments.
• Built and deployed RESTful APIs using AWS Lambda, RDS, and S3 for highly available and scalable services.
• Ensured HIPAA compliance through encrypted data pipelines and secure API access controls.
• Automated document validation workflows by integrating AI predictions into dashboards and mobile platforms.
• Containerized services using Docker and managed deployments via GitHub Actions for CI/CD automation.
• Set up dynamic infrastructure tagging via Terraform, saving ~$100K in cloud resource costs during non-peak hours.
• Conducted CVE remediation for containers and infrastructure using Docker image scanning and secure batch pipelines via ECS Fargate.
• Converted cURL-based scripts to Python to run inside containerized pipelines with better logging and error handling.
• Created and maintained AZUL JDK container images and integrated them with organizational fonts and certs.
• Deployed OctoPerf in QA/Prod using Helm on Rancher; configured LDAP authentication for OctoPerf, Confluence, and JIRA.
• Automated change management for code promotion across lower environments.
• Conducted chaos testing using AWS Fault Injection Simulator to ensure system resilience under failure conditions.
• Set up SonarQube with SSL, configured Sonar Scanner, and applied Quality Gates for secure, reliable releases.
• Designed CI/CD pipelines to automate EMR/EC2 rehydration with Python and Terraform scripts.
• Wrote automation shell and Groovy scripts to restore S3 content and delete failed infra after test failures.
• Integrated Ansible with Jenkins to deploy applications to Kubernetes clusters with Blue/Green strategies.
• Built Python Lambda to ingest CSV files from S3 and populate DynamoDB tables.
• Deployed updated Docker images to Kubernetes Dashboard and JFrog Artifactory after CVE remediation.
• Provisioned Kinesis Streams, Postgres RDS, IAM Roles and Policies using CloudFormation and Avenue CLI.
• Created performance test scripts and reusable API test templates for LoadRunner, JMeter, and ReadyAPI.
• Monitored performance and logs using Splunk, New Relic, and Interscope.
• Environment: JIRA, Confluence, Oracle 11g/12c, PostgreSQL 9.6, Linux, CI/CD, Python, Spring Boot, Jenkins, GitHub Actions, Lambda, AWS (EC2, EKS, CloudFormation, S3, RDS, ECS, Kinesis, EMR, IAM), Docker, Kubernetes, Terraform, Redis, Elasticsearch, LoadRunner, JMeter, Postman, New Relic, Splunk, OpenAI GPT-4, Meta LLaMA, OctoPerf

Design and develop automation workflows, conducting reviews to make sure work is rigorously designed, elegantly coded, effectively tuned for platform performance and assessing the overall quality of delivered components.

• Worked on setting up ServerlessEnd to End One Pipeline set up using Docker file for running BATCH Jobs associated with Secure Guardian Vulnerabilities (Container, Checkmarx, WhiteSource, Infrastructure etc.) using ECS FarGate

• Worked on remediating Container, Infrastructure Vulnerabilities, OSS Plans, Static Plans and AMI Rehydration to ensure the applications are securely accessed. Performed Docker Image scans to ensure no vulnerabilities detected after the CVEs (Common Vulnerabilities and Exposures) are remediated.

• Worked on updating CURLCalls to PYTHON Calls to ensure those are working properly on top of a Dockercontainer

• Created and maintained the AZUL JDK container images for the organizational usage.

• Deployed the OctoPerf application in QA/PROD environment on Rancher Server using helm charts.

• Configured LDAP user authentication for OctoPerf, Confluence and JIRA applications using OAUTH.

• Automated the change management process for deploying the code in lower environments.

• Packaged the AZUL JDK/JRE versions with organizational certificates and fonts.

• Worked on AWS account vending and IAM roles and policies creationusing Cloud formation and Terraform templates.

• Worked on setting up Dynamic Tagging, Launching the Infrastructure in Terraform to set up tags to AWS Resources to ensure we save resource consumption during non-peak hours (~100K$ savings)

• Administered the tools like Postman, Ready API, OctoPerf, LoadRunner and Confluence

• Work on various AWS Services which include EC2, S3, Lambda, Kinesis, RDS, EMR, CloudFormation for JIGSAW data pipeline process

• Conducted intentional fault injection tests in AWS using the AWS Fault Injection Simulator to work on chaos engineering

• Worked on setting up SonarQubeSSL Certificate, Sonar Scanner and setup Quality Gates for release-worthiness of the code

• Worked on Terraform to manage Infrastructure as Code (IaC) to build, change and manage infrastructure in safe, consistent and repeatable way by defining resource configurations for versioning and for reuse

• Designed CI/CD pipelines to automate the EMR/EC2 Rehydration process for list of Python and Terraform scripts

• Authored automation Shellscript to restore AWS S3 Content back in QA/Prod

• Authored automated shell scripts and groovy scripting to automate infrastructure deletion using CICDpipeline whenever the functional test fails after infrastructure deployment

• Worked on Integrating Ansiblewith Jenkins and deploying application on to K8s Cluster

• Prepared Python Lambda function to read CSV file from S3 and upload the data in to DynamoDB

• Performed Deployment/Rehydration for list of release labels which need Docker Image Updates based on reported CVEs (Common Vulnerabilities and Exposures) and deploying the latest release versions to KubernetesDashboard and pushing necessary image versions to JFROG Artifactory

• Provision infrastructure using CloudFormation templates for launching Kinesis Streams, RDS Postgres Database in QA, Prod, created IAM Roles and Policies using Avenue CLI

• Worked on performing QA/Stage and PROD Rehydration for Kubernetes clusters in Blue Green deployment

• Created the Performance test scripts and conducted various load testing models on the applications.

• Created the templates for API’s for creating the performance test scripts.

• Worked on LoadRunner, JMeter, Splunk, New Relic to conduct the performance tests and monitoring the applications.

Environment: JIRA, Confluence, Oracle 11g/12c, PostgreSQL 9.6, Linux Administration, CI/CD, Python, Jenkins, Bitbucket, GITHUB, Lambda, AWS Services - EC2, EKS, CloudFormation, Helm Charts, S3, RDS, Kubernetes, ECS, Kinesis, EMR, IAM, Docker, Terraform, CloudWatch, LoadRunner, JMeter, Postman, New Relic, Splunk and Interscope

• Designed and maintained secure CI/CD pipelines using Azure DevOps, GitLab, and Jenkins (Groovy) to automate build, test, and deployment processes; improved delivery velocity and reduced deployment errors by 40%.
• Developed reusable Terraform modules and Ansible playbooks to provision cloud infrastructure across AWS, Azure, and GCP with policy compliance, version control, and auto-scaling support.
• Deployed and managed containerized microservices on Kubernetes (EKS, AKS, GKE, RKE) using GitOps workflows (ArgoCD), Helm, and Kustomize for version-controlled, scalable application rollouts.
• Built Python automation scripts for log ingestion, CloudWatch alarm management, CI/CD optimization, and infrastructure cleanup — saving 10+ hours/week in manual tasks.
• Implemented DevSecOps pipelines with integrated SAST (SonarQube), DAST (OWASP ZAP), and IAST scanners to catch security issues during early stages of development.
• Deployed and tuned monitoring/observability systems using Prometheus, Grafana, OpenTelemetry, and Datadog, including dashboard development, synthetic testing, and SLA alerting.
• Migrated Kibana to OpenSearch, improving query performance, index storage, and visualization resilience across production environments.
• Orchestrated OpenTelemetry-based observability pipelines for microservices, enabling unified metrics, logs, and distributed tracing across hybrid cloud infrastructure.
• Architected and deployed secure cloud solutions using AWS (EC2, S3, IAM, VPC, RDS) and Azure (AKS, App Gateway, DevOps Pipelines), with a focus on Zero Trust architecture, least-privilege IAM, and API Gateway security policies.
• Conducted cost optimization analysis for cloud resources using built-in monitoring and Python-based reporting, resulting in ~20% monthly savings.
• Triaged and resolved high-severity incidents (memory leaks, DNS failures, JVM issues, DB latency) using AppDynamics, Splunk, and Grafana, improving MTTR by 35%.
• Participated in security reviews, threat modeling, and postmortems, contributing to mitigation strategies aligned with OWASP Top 10 and MITRE ATT&CK.
• Led the onboarding of Google Cloud Build and Artifact Registry into existing DevOps ecosystems, enabling hybrid and multi-cloud deployment strategies.
• Provided security consultation to development teams, promoted secure coding practices, and enforced guardrails across Kubernetes namespaces and cloud environments.
• Mentored junior engineers and led internal workshops on container security, DevSecOps best practices, and observability implementation.
• Environment: JIRA, Confluence, Oracle 11g/12c, PostgreSQL, Linux Administration, CI/CD, Python, Jenkins, GitLab CI, GitHub, Bitbucket, AWS Services – EC2, S3, RDS, Lambda, IAM, EKS, CloudFront, WAF, Security Hub, Azure – AKS, App Gateway, Azure DevOps, GCP – GKE, Cloud Build, Artifact Registry, Anthos, Compute Engine, Kubernetes, Docker, PCF, ArgoCD, Helm Charts, Kustomize, Terraform, CloudFormation, Ansible, Puppet, Shell, Boto3, AppDynamics, Prometheus, Grafana, OpenTelemetry, Datadog, CloudWatch, Splunk, OpenSearch, Clickhouse, SonarQube, OWASP ZAP, API Gateway, KQL, Kafka, Kinesis, EMR, Postman, JMeter, LoadRunner, Trivy