AWS Certified Solutions Architect – Associate (SAA-C03)
Profile
I transitioned into technology through hands on experience, beginning in help desk and progressing into a Software Engineer I role by steadily expanding my development and automation responsibilities. After leaving law school, I redirected my focus toward software engineering and cloud infrastructure, treating learning as a deliberate and continuous practice. My work emphasizes reliability, reproducibility, and operational awareness across the software development lifecycle, with a strong focus on cloud native systems and DevOps aligned workflows.
Certifications
Skills
- AI and LLM Engineering: agentic workflow design, automated model testing, prompt engineering, scenario design, ground truth validation, failure mode analysis
- Cloud Platforms: AWS, Azure, Google Cloud Platform, Oracle Cloud
- Infrastructure as Code and DevOps: Terraform, Pulumi, Git, GitHub Actions, continuous integration and delivery, shell scripting, GitOps, CloudFormation
- Containerization and Orchestration: Docker, Kubernetes
- Monitoring and Observability: Prometheus, Grafana, AWS CloudWatch
- Programming and Scripting: Python, Bash, Go, JavaScript, SQL, PowerShell, Java
- Web Development: Flask, React, HTML, CSS, REST API design
- Systems and Platforms: Linux, Windows Server, macOS
- Identity and Networking: IAM, Active Directory, DNS, VPNs, firewalls, Route 53, CloudFront
Experience
DevOps Engineer
Snorkel AI • November 2025 to Present- Reduced vulnerable build promotion by 90% through a custom DevSecOps pipeline integrating SAST, DAST, and IaC scanning.
- Implemented Kubernetes blue-green deployment strategies enabling zero-downtime releases and rapid rollback capability, standardizing secure pipelines across environments and reducing deployment failures by ~70%.
- Orchestrated an event-driven remediation workflow using AWS Lambda and Boto3 to automatically resolve API latency degradation by rebooting targeted EC2 instances provisioned via IaC, reducing MTTR by ~40%
- Built end-to-end infrastructure validation using Bash scripts that invoke the IAM Policy Simulator and Lambda to verify remediation reliability prior to production promotion.
IT Support Specialist
2024 to 2026- Executed a cloud rehosting migration from AWS to Azure, performing service dependency mapping to ensure data integrity across the firm's accounting infrastructure throughout cutover.
- Provisioned and rightsized replacement Azure infrastructure using IaC, aligning compute and storage resources to firm budget constraints while maintaining 99%+ uptime post-migration.
- Engineered Python and Bash scripts to automate recurring Entra ID authentication remediation, cutting resolution time by ~50%.
Help Desk Technician (Contract)
2023 – 2024 (Contract)- Managed data recovery through backup restoration and environment repair, preventing data loss and client-facing delays across 5+ critical client engagements.
- Resolved 40+ monthly MFA and authentication incidents while maintaining high first-contact resolution rates
- Streamlined Tier-2 handoffs by authoring diagnostic runbooks, reducing complex incident resolution time by ~30%.
Projects
NFL Data Reliability Platform
- Deployed a containerized Python ingestion service to Azure Container Apps via Terraform, routing NFL API payloads through tiered Blob Storage with automated schema validation and quarantine logic for data quality enforcement
- Instrumented custom Prometheus metrics for SLI and SLO tracking including ingestion success rate, schema validity, and data freshness, using a scraper sidecar and PromQL burn rate analysis visualized through Azure Managed Grafana
- Orchestrated the platform as modular Terraform with a remote state backend, integrating Azure Container Registry, Key Vault, and RBAC managed identity permissions across isolated bootstrap and dev environments
Super Bowl LX Intelligence Center
- Provisioned a cloud native analytics pipeline using Python and Azure OpenAI (GPT 4o) to perform high dimensional forecasting on NFL performance datasets for Super Bowl LX
- Developed a custom Python data injection layer to mitigate upstream API synchronization lag, preserving data integrity and enabling reliable real time analysis for time sensitive events
- Accelerated decision making cycles by automating complex data aggregation and LLM driven analysis to reduce manual evaluation overhead and improve forecast turnaround time
Event-Driven AWS Performance Remediation
- Engineered an event driven remediation workflow using AWS Lambda and Python with Boto3 to automatically resolve API latency issues by rebooting targeted EC2 instances provisioned through Infrastructure as Code.
- Enforced least privilege security by scoping IAM permissions to explicit EC2 instance and SNS topic ARNs enabling controlled remediation and notification without excess access.
- Enhanced system observability by integrating JSON-formatted logging for CloudWatch and developing a Sumo Logic query to identify latency trends across API endpoints.
- Built an end-to-end Bash validation script leveraging the IAM Policy Simulator and Lambda invocation to verify remediation behavior.
K3s Home Lab, Arch Linux
- Fortified a self hosted container orchestration environment by repurposing a T2 MacBook into an Arch Linux based K3s home lab, configuring namespaces, services, logging, and secure remote access for operator level system administration.
- Implemented runtime observability and security controls by deploying Prometheus and Grafana for metrics and visualization and Falco for behavioral alerting, enabling hands on analysis of system health and anomaly detection across containerized workloads.
Azure DevSecOps Project
- Built an end to end Azure deployment workflow for a containerized Flask app using Terraform, Azure Container Registry, and Azure Kubernetes Service.
- Implemented Blue Green release flow on AKS to support safer cutovers and fast rollback during failed deploys.
- Hardened container runtime by running as a non root user and integrating image vulnerability scanning into the workflow.
- Debugged and fixed CrashLoopBackOff caused by CPU architecture mismatch by enforcing linux amd64 builds for AKS nodes.
Jordandesigns.io: Cloud Resume Challenge Infrastructure
- Deployed a serverless resume site on AWS achieving strong uptime and fast global load times through S3, CloudFront, and Route 53 with TLS enforcement.
- Implemented a real time visitor counter using Lambda and DynamoDB supporting near one thousand tracked visits with consistently low latency.
- Automated all infrastructure and deployments using Terraform and GitHub Actions including remote state stored in an S3 backend.
ECS-CI/CD-Flask: Containerized Component Deployment
- Deployed a containerized Flask app on ECS Fargate with ECR in a secured VPC.
- Built GitHub Actions CI/CD pipelines that automated infrastructure and app deployments, enabling zero-downtime releases and high availability.
Weather-PWA: Azure Container Apps Deployment
- Deployed a Go-based REST API on Azure Container Apps.
- Codified the entire Azure infrastructure using reusable Terraform modules and automated the deployment process, reducing setup time by 40%.
3-Tier-Task-App: Scalable, IaC-Managed Environment
- Engineered a complete 3-tier application stack (Flask, MySQL RDS) using Docker Compose on AWS EC2.
- Implemented full observability by integrating Prometheus and Grafana for advanced monitoring and alerting across the environment.
Serverless Data Pipeline: ETL Automation on AWS
- Built event-driven pipeline triggered by S3 events to invoke AWS Lambda for CSV preprocessing.
- Orchestrated ETL with AWS Glue, scheduled Glue jobs for recurring processing.
- Managed IaC with Terraform and AWS CLI; enforced IAM role-based security.