Work Experience
5+ years of cloud platform, CI/CD, automation, and GenAI infrastructure experience.
Experience developing secure cloud-native services, CI/CD automation, observability systems, AWS infrastructure, and GenAI applications for regulated enterprise environments.
Cloud Platform Infrastructure
- Developed and maintained secure cloud-native distributed services, CI/CD automations, and AWS infrastructure across Cloud Platform teams, supporting 50+ development teams in regulated enterprise environments.
- Led Jenkins migration efforts by resolving cross-account access blockers, documenting runbooks, designing multi-account network CWAN structure, and standardizing access patterns for 500+ pipelines.
- Delivered Jenkins V2 from greenfield AWS infrastructure to production, including Terraform-based server and ECS agent clusters, Jenkins Configuration as Code, Okta SSO, GitHub Enterprise, SonarQube, JFrog, and Prisma integrations.
- Resolved a multi-month Jenkins JVM stability issue by analyzing heap dumps, adding metaspace JVM arguments, cleaning up 12TB of EFS data, and implementing lifecycle management for ongoing reliability and cost control.
- Led Cribl observability migration by designing Terraform IaC and ECS/CloudWatch integrations, enabling centralized logging, monitoring, and alerting while minimizing developer onboarding impact through reused configurations.
- Deployed Logz.io to replace New Relic observability for Jenkins and GitHub monitoring, replicating dashboards and alarms, adding OpenTelemetry tracing, and filtering metrics for cost efficiency.
- Planned and rolled out AWS Account Network Layer changes across ~100 production AWS accounts in 6 Terraform phases with zero deployment incidents.
- Built AWS tagging and cleanup automation that improved tagging compliance, removed unused resources, and helped reduce cloud spend through EBS cleanup, EC2 delete-on-termination enforcement, and tag remediation workflows.
- Built automation to suspend inactive GitHub users and offboard terminated users through Active Directory, reducing GitHub license needs and improving access control.
- Shipped GitHub Enterprise and GitHub Cloud audit logs to Splunk, delivering compliance-level traceability for IT Security.
GenAI Applications and Infrastructure
- Designed secure multi-account AWS infrastructure for GenAI applications in HIPAA-audited production environments, using Terraform IaC, IAM roles, encrypted S3, logging, and controlled cross-account access patterns.
- Designed and deployed internal GenAI applications using AWS Bedrock Knowledge Bases, S3, OpenSearch vector databases, Lambda, and Terraform IaC to support production stakeholder use cases.
- Standardized deployment patterns for GenAI applications by managing containerized services, application dependencies, and environment-specific configurations across development and production.
- Developed a low-cost Lambda-based PPT/PPTX parsing solution to support Bedrock Knowledge Base ingestion for file types not natively supported, expanding document coverage while controlling infrastructure cost.
- Built secure ingestion workflows that pulled versioned documents from third-party SaaS document-management applications into S3, enabling AWS Bedrock Knowledge Bases to ingest current enterprise content.
- Promoted local and self-hosted LLM options for PHI-sensitive workflows, documenting privacy, infrastructure, deployment, and operational tradeoffs compared with cloud-hosted AI services.
- Partnered with stakeholders through UAT, translated feedback into Jira stories, secured required approvals, and pushed GenAI applications to production for business users.
AWS
Terraform
AWS Bedrock
OpenSearch
Lambda
Jenkins
GitHub Enterprise
Cribl
Logz.io
Splunk
Python
- Architected and implemented automated AWS EBS volume cleanup using Jenkins, AWS services, Bash/Python automation, and Azure SharePoint integration, reducing orphaned storage waste and saving ~$100K/year.
- Partnered with internal teams to identify and clean up underutilized AWS EC2 instances, reducing unnecessary compute spend and saving ~$48K/year.
AWS
Jenkins
Python
Bash
Cost Optimization
Supported students and course operations for technical systems coursework while completing graduate studies in Computer Systems Engineering.
Contributed software engineering work in an enterprise telecom environment before beginning graduate study.
Built early software engineering experience through application development, debugging, and implementation work in a startup environment.