Resume

• Designed a segmented, multi-tier VPC architecture with security group chaining to isolate ALB, ECS, and RDS access layers
• Architected a full cloud migration plan for a second production application, mapping each component to its target AWS service (Vercel → Amplify/ECS, Supabase → RDS/Cognito, S3)
• Evaluated containerization and image-management tradeoffs, selecting a multi-stage Docker build strategy to optimize deployment size
• Planned the architecture for a serverless, retrieval-augmented AI system using Bedrock, Lambda, and OpenSearch Serverless

• Provisioned a production-grade AWS network architecture using Terraform, including public/private subnets across two Availability Zones, NAT Gateway, and Internet Gateway
• Built and deployed a containerized Next.js application via a multi-stage Docker build, configuring Amazon ECR with automated image lifecycle policies
• Established remote Terraform state management using Amazon S3 and DynamoDB state locking to support safe, collaborative infrastructure changes
• Architected a serverless AI pipeline using AWS Lambda, API Gateway, and Amazon Bedrock, integrating DynamoDB, S3, and OpenSearch Serverless for retrieval-augmented generation

• Diagnosed and resolved a production networking failure (self-referencing ECONNREFUSED error) by identifying and correcting runtime HOSTNAME binding configuration
• Maintained infrastructure reliability by provisioning a 17-resource VPC with layered security group access controls across two Availability Zones
• Reduced container image size by configuring a multi-stage Docker build, improving deployment speed and resource efficiency
• Supported infrastructure change management using Terraform remote state with DynamoDB locking, preventing configuration conflicts during collaborative updates

• Secured more than $65,000 in government contracts through compliance-driven bidding strategies
• Implemented cloud-based collaboration and document management systems, reducing document retrieval time by 40%
• Directed reporting, budgeting, and performance tracking processes across multiple client engagements
• Increased operational efficiency by 25% through workflow automation and process optimization

• Automated management of 1,000+ project records, reducing document retrieval time by 70%
• Consolidated data from Oracle, Power BI, and enterprise systems supporting over $10M in capital expenditures
• Developed KPI dashboards tracking 15+ performance metrics, improving reporting visibility for leadership teams
• Streamlined operational workflows across departments, increasing efficiency by 30%
• Administered user accounts and access permissions in Microsoft Azure Active Directory and Office 365 to support onboarding for new hires across project units

• Analyzed sales data across 100+ SKUs, contributing to a 15% increase in gross profit margins
• Built forecasting models that improved demand prediction accuracy by 25% and reduced inventory shortages
• Automated reporting workflows, reducing reconciliation time by 40%
• Maintained database records with 99% accuracy, generating operational reports supporting business decisions
• Managed employee user accounts and access permissions via Microsoft Azure Active Directory and Office 365 to support day-to-day store operations