Software Engineer · Atlanta, GA

Software Engineer

I build backend and full-stack applications with React, Node.js, and Python then ship and operate them on AWS and Google Cloud.

My work spans application development, APIs, CI/CD, containers, and production support. Cloud infrastructure and reliability practices strengthen how I deliver software.

Based in Atlanta · Open to Software Engineer, Backend, and Full-Stack roles; also strong-fit Cloud, Platform, and reliability opportunities

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Projects

Selected builds across full-stack product delivery, AI-assisted investigation workflows on AWS, and reliability engineering on Google Cloud.

AI-Assisted Incident Platform

IncidentLens AI

An AI-assisted incident detection and investigation platform that turns application errors into structured incidents, persists them on AWS, then enriches them with Amazon Bedrock for advisory investigation support in a React operator UI.

ReactTypeScriptNode.jsAWSAmazon BedrockTerraformGitHub Actions

Event-driven path: CloudWatch Logs → processor Lambda → DynamoDB persistence first, then Bedrock enrichment
Bedrock returns an AI-assisted summary, possible cause, and recommended investigation actions as advisory aids
React incident console with open → investigating → resolved lifecycle; SNS for eligible high/critical incidents
Terraform IaC with GitHub Actions OIDC deploy—no long-lived AWS keys in CI

Live Demo GitHub

Production Full-Stack Project

PitchPulse26

A production World Cup prediction platform built with React, Node.js, PostgreSQL, and serverless AWS infrastructure. Used by 20+ registered users with 600+ predictions during a live tournament.

ReactNode.jsPostgreSQLAWSTerraformGitHub Actions

Full-stack product covering authentication, match predictions, standings, and leaderboards
Express API on AWS Lambda behind API Gateway, with Prisma and Neon PostgreSQL
Infrastructure managed with Terraform; deployments automated through GitHub Actions
CloudWatch dashboards, alarms, and a documented rollback path

Live Site Case Study GitHub

Cloud Reliability Project

ApplyTrack API

A FastAPI backend demonstrating Python APIs, Docker packaging, a historical Google Kubernetes Engine deployment, CI/CD with Cloud Build, and practical observability with Prometheus metrics and local Grafana.

PythonFastAPIDockerGoogle CloudKubernetesPrometheusGrafana

FastAPI + Pydantic + SQLAlchemy + Alembic with PostgreSQL persistence
Historical GKE deployment via Cloud Build → container image → Deployment + LoadBalancer Service (cluster later deleted for cost control)
Kubernetes livenessProbe on /health and readinessProbe on /ready with a database connectivity check
Prometheus metrics exposed by the API; Prometheus/Grafana validated locally with Docker Compose and documented SLI/SLO analysis

GitHub

About

Software Engineer with 5+ years of professional experience at The Home Depot building, modernizing, testing, and supporting full-stack applications used in enterprise and store operations.

I work primarily with React, Node.js, and Python on the application side, with AWS, Google Cloud, Docker, Kubernetes, Terraform, CI/CD, and observability as supporting engineering breadth for delivery and production reliability.

AWS Certified Solutions Architect – Associate

Verified on Credly (opens in new tab)

ReactNode.jsPythonAWSGoogle CloudDockerKubernetesTerraformCI/CDObservability

Resume

View my experience across software engineering, cloud infrastructure, CI/CD, production support, and reliability engineering.

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Get in Touch

Let's connect.

I'm open to software engineering opportunities and conversations around backend systems, cloud infrastructure, platform engineering, and reliable production software.

The fastest way to reach me is by email. You can also connect with me through LinkedIn, review my work on GitHub, or open my resume.

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Connect professionally

GitHub

View my code and projects

Resume

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Opportunity Interests

Software Engineering
Backend Engineering
Cloud Engineering
Platform Engineering
DevOps / Reliability

LocationAtlanta, GA

AvailabilityOpen to remote, hybrid, and relocation opportunities