Cloud Solutions Architecture · Infrastructure · AI Enablement

Architecting cloud systems people can trust.

Cloud solutions architect with experience designing secure, scalable AWS infrastructure, guiding modernization, and enabling organizations to adopt AI with purpose and rigor.

FocusCloud architecture
Depth16 AWS certifications
Based inMiami, Florida
AWSarchitecture & infrastructure
AIsecure enterprise enablement
Globalinternational organizations
EN · ESbilingual delivery

Selected experience

Architecture with a practical point of view.

Cloud architecture, infrastructure delivery, and enterprise AI, shaped into systems teams can operate with confidence.

2022 — 2026

Amazon Web Services

Solutions Architecture · International Organizations

2023 — 2026

Enterprise Solutions Architect II

Led solution design for United Nations agencies and the World Bank Group, translating mission needs into secure AWS roadmaps.

  • Resilient AWS: VPC, EC2, RDS, Lambda, ECS, observability, and infrastructure as code.
  • Secure cloud: AWS Security Technical Field Community member supporting workload hardening through IAM, least privilege, network segmentation, logging, and monitoring.
  • Enterprise AI: Bedrock, AgentCore, MCP server and gateway patterns, Guardrails, AI security, and evaluations.

2022 — 2023

Solutions Architect I

Designed modernization patterns that combined secure architecture, automation, and operational readiness.

  • CloudFormation, CDK, Terraform, CI/CD, serverless, containers, and AWS security.

2022

Associate Solutions Architect · Tech U

AWS technical immersion focused on architecture, customer engagement, and hands-on delivery.

Core capabilities

Infrastructure that makes room for what is next.

01

Cloud architecture

Well-architected AWS environments spanning compute, networking, identity, resilience, security, and cost-aware design.

02

Platform engineering

Infrastructure as code, serverless patterns, delivery automation, observability, and developer-ready cloud foundations.

03

AI transformation

Amazon Bedrock, AgentCore, guardrails, evaluation, and secure pathways from AI experimentation to production.

Cloud security engineering

Security designed into the platform.

Practical controls for the systems, teams, and delivery paths that turn cloud architecture into dependable operations.

01

Identity & access

IAM, least privilege, MFA, authorization boundaries, credentials, and identity-aware access patterns that reduce unnecessary exposure.

02

Secure infrastructure

VPC design, security groups, routing, VPN, network segmentation, resilient workload patterns, and security architecture reviews.

03

Delivery & configuration

Terraform, CloudFormation, CDK, CI/CD, Docker, repeatable deployments, change management, configuration review, and drift reduction.

04

Detection & response

CloudWatch, logging, monitoring, alerting, incident triage, root-cause investigation, recovery planning, and operational handoff.

05

Secure AI systems

Amazon Bedrock and AgentCore with Guardrails, agent identity, gateway permissions, MCP tool controls, trace review, evaluations, and governance considerations.

Architecture in practice

Technical depth across the stack.

Architecture is not a diagram. It is the disciplined integration of security, infrastructure, operations, and the people who run it.

Infrastructure & networking

VPC, EC2, ECS, EKS, S3, Route 53, Elastic Load Balancing, Auto Scaling, CloudFront, RDS, DynamoDB, and resilient multi-tier architectures.

Security & identity

IAM, KMS, Cognito, security architecture, risk mitigation, guardrails, and practical approaches to responsible AI security.

Platform & delivery

Terraform, CloudFormation, CDK, SAM, CI/CD, Docker, Kubernetes, Lambda, SNS/SQS, CloudWatch, and observability patterns.

Generative & agentic AI

Amazon Bedrock and AgentCore Runtime, Memory, Identity, Gateway, Observability, Browser Tool, Harness, Evaluations, and MCP server integration patterns.

AI-native development

Hands-on development workflows with AWS Kiro IDE and Kiro CLI, Claude Code CLI, and Codex for architecture exploration, infrastructure work, automation, and implementation acceleration.

Enterprise AI enablement

From architecture to responsible AI adoption.

I work with teams on the decisions that make AI useful in practice: how to prototype safely, build with guardrails, evaluate systems, and integrate emerging capabilities into reliable cloud platforms.

  • Amazon Bedrock
  • Bedrock AgentCore
  • Guardrails & AI security
  • Agent evaluation & observability
  • Cloud modernization
  • Technical enablement

AWS credentials

Verified depth, continuously renewed.

A selected view of current AWS credentials. Verify the complete credential and badge profiles through AWS Skill Builder and Credly.

16AWS certifications
earned
Generative AI Developer ProfessionalSolutions Architect ProfessionalDevOps Engineer ProfessionalSecurity SpecialtyMachine Learning Engineer AssociateData Engineer AssociateAI PractitionerSolutions Architect AssociateDeveloper AssociateSysOps Administrator AssociateCloud Practitioner

Education

M.S. Computer Science

Nova Southeastern University · 2020–2022

M.A. Education, Curriculum and Instruction

Concordia University Portland · 2011

B.S. Computer Software Engineering

Keiser University · 2015–2017

Professional recognition

AWS Golden Jacket Recipient2023

AWSome Awards All Star RecipientAWS

AWS Certification SMEAssociate & Professional

AWS Learning SMELevels 1 & 2

Let’s work together

Build the next chapter of your cloud platform.

Available for cloud architecture, AWS infrastructure strategy, technical enablement, and enterprise AI engagements.