Senior Solutions Specialist

Deloitte, Charlotte, NC | August 2024 – Present

• Architected scalable cloud solutions, including Kubernetes clusters (3-10 nodes, auto-scaling) and persistent storage, reducing infrastructure costs by 30% ($1.5M savings annually).

• Developed real-time monitoring frameworks using AWS CloudTrail and CloudWatch, achieving 100% anomaly detection and cutting resolution times by 50%.

• Implemented zero-trust security protocols, ensuring 100% compliance with SOX, GDPR, and FedRAMP standards.

• Authored 20+ technical architecture documents, defining infrastructure sizing, IAM configurations, and storage optimization strategies.

• Designed and deployed automated disaster recovery strategies, reducing potential downtime by 75% and improving business continuity.

• Optimized serverless workflows using AWS Lambda, reducing compute costs by 40% while improving response times.

• Led cross-functional teams to implement Kubernetes-based AI workloads, enabling real-time analytics with 30% faster processing.

• Integrated Terraform-based infrastructure-as-code (IaC), reducing manual deployment efforts by 60% and ensuring consistent, repeatable environments.

• Developed security automation playbooks, improving incident response times by 45% and reducing compliance audit gaps.

• Created and standardized FinOps cloud cost governance strategies, increasing budget efficiency across cloud projects by 20%.

Key Achievements:

• Improved system reliability by 40% through efficient infrastructure automation and monitoring.

• Accelerated deployment times by 25% via optimized CI/CD pipelines and automated testing.

• Strengthened system stability, achieving a 40% improvement through efficient infrastructure automation and monitoring.

• Accelerated deployment times by 25% via optimized CI/CD pipelines and automated testing.

• Reduced potential downtime by 75% through automated disaster recovery.

• Lowered cloud spend by 20% through FinOps optimization strategies.

Senior Generative AI & MLOps Engineer

Wells Fargo, Charlotte, NC | 2015 – August 2024

• Developed and deployed LLM-based AI models for fraud detection, achieving 98% accuracy and protecting $50M+ annually.

• Automated 50+ MLOps pipelines, reducing retraining time by 50% and streamlining model integration.

• Authored 40+ architecture blueprints, optimizing Kubernetes clusters, storage, and network security.

• Led workforce analytics initiatives, using predictive modeling to enhance retention strategies and improve workforce planning by 25%.

• Managed and mentored cross-functional teams of developers and data scientists, improving project delivery timelines by 20%.

Key Achievements:

• Reduced infrastructure costs by 40% through automated resource allocation and optimization.

• Enhanced decision-making with real-time SQL-driven data insights, improving executive reporting.

Senior Software Engineer

GDIT, Des Moines, IA | 2011 – 2015

• Developed user-facing and backend solutions in Python and R, improving delivery timelines by 30% and ensuring 99.9% data accuracy.

• Enhanced data processing workflows by 40%, enabling real-time analytics and reporting.

• Secured $5M in additional contracts by delivering high-quality, scalable software systems.

Key Achievements:

• Boosted application performance by 50% using advanced optimization techniques.

• Delivered secure, scalable solutions, achieving a 92% client satisfaction rate.