BH Bahaa Haddad
Open to DevOps opportunities

DevOps & AI Integration Engineer · Houston, TX

I integrate AI into products that stay reliable.

I connect AI models to real products through secure APIs, dependable cloud infrastructure, and production-ready delivery systems. This portfolio’s live multi-model Bedrock assistant is one working example.

Bedrock AI · Docker containers · Trivy scanning · Amazon ECR

Request a demo
ai-integration.sh live

$ connect --provider bedrock

Securing model endpoint...

✓ API integration online

✓ Global usage controls enabled

$ deploy --aws production

✓ Docker images passed Trivy gate

→ ECR copies published · EC2 healthy on :80

AI + cloud ● assistant healthy
AWS Terraform Kubernetes GitOps Amazon Bedrock Docker
Text-free visualization of secure cloud infrastructure

Cloud infrastructure built to operate

01 / About

Production ownership, end to end.

For more than eight years, I’ve designed, automated, and operated cloud platforms where availability, delivery speed, and security all matter.

I’ve owned mission-critical AWS infrastructure, built reusable Terraform and Terragrunt foundations, improved CI/CD systems, and supported container platforms across ECS, Fargate, and EKS.

I combine deep technical execution with calm operational leadership: troubleshooting across the stack, mentoring engineers, and turning complex platform problems into repeatable systems.

I also bring AI into those systems—integrating model APIs with application backends, guardrails, rate limiting, monitoring, and secure production deployment.

8+Years in DevOps
4 yrsZero unplanned outages
35%Faster pipelines
10 hrsManual work saved weekly

02 / Capabilities

Depth across the platform.

01
CL

AWS Architecture

Production cloud platforms designed for availability, security, and scale.

  • EC2 & VPC
  • ECS / EKS
  • RDS & Lambda
02
CI

Infrastructure as Code

Reusable, auditable environments with strong state and promotion patterns.

  • Terraform
  • Terragrunt
  • Policy as code
03
OP

Containers & GitOps

Hardened images and standardized delivery across container platforms.

  • Docker
  • Amazon ECR
  • Kubernetes
  • ArgoCD & Helm
04
CD

Delivery Engineering

Fast, controlled pipelines with reusable workflows and safe rollback.

  • GitHub Actions
  • Jenkins
  • GitLab CI
05
OB

Observability

Actionable logging, metrics, traces, dashboards, and SLO-based alerting.

  • Datadog APM
  • Prometheus
  • Grafana & ELK
06
AI

AI Product Integration

Model APIs connected to real products with secure, reliable backend services.

  • Amazon Bedrock
  • Prompt Management
  • Guardrails

03 / Experience

Built through real operations.

2022 — 2026 Remote

Cogility Software

Senior DevOps Engineer / DevOps Lead

Owned mission-critical AWS infrastructure supporting federal programs. Led Terraform, Terragrunt, GitOps, container platforms, observability, security hardening, and operational automation.

  • Maintained zero unplanned outages across four years.
  • Cut pipeline execution time by 35% and failed-release impact by 40%.
  • Reduced mean time to detection by 35% and mentored up to six engineers.
2018 — 2022 Remote

My Landmark Tech

Cloud & Infrastructure Engineer

Architected AWS infrastructure for enterprise SaaS clients, migrated legacy workloads to ECS Fargate, and developed automated delivery, observability, and security foundations.

  • Supported production services with 99.9% uptime SLAs.
  • Automated operations across Windows, Linux, AWS, and Azure.
2015 — 2018 Houston, TX

InVisionApp Inc.

IT Systems & Network Administrator

Administered global infrastructure, networks, identity platforms, backup automation, patch management, and technical escalations.

  • Maintained 99.9% uptime for internal enterprise systems.
  • Automated access controls, onboarding, offboarding, and DR readiness.

Credentials

Certified and continuously learning.

  • ✓ AWS Certified DevOps Engineer — Professional
  • ✓ AWS Certified Solutions Architect — Associate
  • → Certified Kubernetes Administrator — In progress
  • → AWS Certified AI Practitioner — In progress

04 / Selected work

Built, automated, deployed.

View GitHub ↗
This website is a live AI integration and CI/CD demo.

Its Dockerized Python service securely connects the product experience to selectable Amazon Bedrock models using console-managed prompts and guardrails. Docker images are scanned with Trivy, pushed to Amazon ECR, then pulled by digest from ECR for production.

AI assistant live

System architecture

One portfolio. Two controlled paths.

Designed and built from scratch by Bahaa Haddad

Live infrastructure Checking production…
Deployment Checking deployed revision Revision pending
Runtime Checking containers Uptime pending
Telemetry Connecting…
Live external API integration GitHub REST API Integration Browser → api.github.com → JSON response
Connecting…
GitHub profile Loading profile… Repositories pending
Latest public project Loading activity… Technology pending
API response Waiting for GitHub… View GitHub ↗
Open-Meteo REST API Integration

Live weather

City → Geocoding API → Forecast API → JSON
Current conditions Katy, Texas Connecting to Open-Meteo…
—° Loading weather
Wind speed — mph API request pending
Loading seven-day forecast…
Weather data by Open-Meteo ↗
AWS CloudWatch · last 60 minutes EC2 operating signal
Loading five-minute metrics…
CPU utilization —
Network traffic —
Inbound Outbound
Host memory —
Reading host memory…
AI runtime Amazon Bedrock
Managed models Loading… Default model pending
Prompt control Checking… Console-managed configuration
Safety Checking… Version pending
Public limits Checking… Cost and abuse protection
Container security Trivy deployment gate
Loading current scan…
Container image Web / nginx
Checking
HIGH
—
CRITICAL
—
Packages
—
Container image Chatbot / Python
Checking
HIGH
—
CRITICAL
—
Packages
—
01
Build, scan & releaseEvery push to main
Source GitHub Main branch
CI/CD GitHub Actions ESLint · Ruff · CodeQL
Build host Docker on EC2 Web + chatbot images
Container security Trivy scan HIGH report · CRITICAL gate
Registry Amazon ECR SHA publish + digest source
Production Docker containers Pull ECR digest · health check
02
Live requestVisitor experience
Visitor Browser Portfolio question
Web container nginx Static site + API proxy
API container Python chatbot Rate limits + portfolio scope gate
Bedrock control Prompt Management Model + instructions + inference settings
Safety Bedrock Guardrails Topic blocking + content safety
Inference Amazon Nova 3 Nova · 3 Meta Llama models
Infrastructure as code Terraform EC2 + IAM Private ECR + retention Prompts + Guardrail + SSM ● Managed
Source GitHub
Pipeline Actions
Cloud AWS EC2
Infrastructure: Terraform ● Healthy

Featured project

Automated Portfolio Infrastructure

This portfolio is more than a frontend—it is a working DevOps implementation. Terraform manages the AWS foundation, infrastructure changes run through CI checks, and GitHub Actions automatically builds and scans Docker images, pushes them to Amazon ECR, and deploys the exact immutable ECR digests to Docker on EC2.

  1. 01
    CommitSource pushed to GitHub
  2. 02
    Build & scanDocker images pass the Trivy gate
  3. 03
    PublishSHA-tagged images pushed to private ECR
  4. 04
    ReleaseEC2 pulls ECR digests, then runs health checks
Terraform AWS GitHub Actions nginx Docker CI/CD
View infrastructure ↗

05 / Request a demo

Bring AI into your product.

Share the problem you want to solve. I’ll follow up to discuss a practical, production-ready approach.

  • 01 AI use-case discovery
  • 02 Integration architecture
  • 03 Secure cloud deployment
Demo request Usually replies within one business day

I’ll reply within one business day.