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About

Cloud & DevOps engineer on AWS. B.S. Computer Science (SNHU, Aug 2026). AWS Certified Solutions Architect Associate & Cloud Practitioner.

I build and deploy cloud infrastructure on AWS and automate it end to end with infrastructure as code and CI/CD. Comfortable across compute, networking, containers, and security, and I build the applications that run on top.

GPA
3.71
Graduating
Aug 2026
Location
Stamford, CT / NYC
School
SNHU

Skills

AWS Cloud Services

LambdaEC2ECS / FargateS3CloudFrontEFS / EBSDynamoDBRDSAPI GatewayRoute 53Load BalancerCloudWatchBedrockSageMaker

Infrastructure & DevOps

TerraformAWS CDKDockerKubernetesEKSHelmGitHub ActionsCI/CD PipelinesGitOpsArgoCDPrometheusGrafanaMicroservices

Security & Networking

IAMRoles & PoliciesLeast PrivilegeVPCSecurity GroupsNACLsOIDCWAFEncryptionTLS / SSLDNS

Languages & Data

PythonBashYAMLJavaScript / TypeScriptSQL (PostgreSQL, MySQL)NoSQL (DynamoDB, MongoDB)REST APIs

AI / ML Toolkit

RAG PipelinesPrompt EngineeringAmazon BedrockSageMaker

Certifications

  • AWS Solutions Architect Associate

    Earned

    Amazon Web Services · Associate · SAA-C03

    Jun 2026
  • AWS Certified Cloud Practitioner

    Earned

    Amazon Web Services · Foundational · CLF-C02

    May 2026
  • Google IT Support Professional Certificate

    Earned

    Google · Professional · v.3

    Jul 2026
  • HashiCorp Terraform Associate

    In progress

    HashiCorp · Associate · TA-003

    Late Aug 2026

Projects

Unkommon.ai

Featured

Solo-built AI services platform on AWS. Voice receptionist (Vapi + Bedrock + Lambda) and website chatbot that qualify leads and book appointments via Google Calendar. Fully serverless. Lambda, Bedrock (Claude Sonnet 4.5 / Haiku 4.5), DynamoDB, API Gateway, Cognito, Amplify. React + TypeScript frontend, deployed via AWS SAM.

ReactTypeScriptAWS LambdaBedrockDynamoDBCognitoAWS SAMVapi

Bees Knees AI

Live Site

Live marketing site for an AI agency with an embedded chatbot (Buzz) built on Claude Sonnet 4. Streaming SSE, prompt caching for ~90% cost reduction, per-IP rate limiting, and full security headers (HSTS, CSP, Permissions-Policy). Cal.com booking integration and a custom WebGL shader hero.

Next.js 16React 19TypeScriptClaude APICal.comWebGLVercel

Company Policy RAG System

Live Demo

Production-grade RAG system with hybrid search, cross-encoder reranking, and RAGAS evaluation metrics. Upload any document and ask questions in natural language. Built with Python, LangChain, FastAPI, deployed on Hugging Face.

PythonLangChainFastAPIBM25Sentence TransformersRAGAS

Coursework

Selected projects from my Computer Science degree at SNHU.

Contact

I'm open to cloud engineering, DevOps, and AI infrastructure roles. The best way to reach me is by email — I'll get back to you within a day.

mehdisalhi.dev@gmail.com

Built with Next.js, Tailwind, and Framer Motion. Deployed on Vercel. © 2026 Mehdi Salhi.