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Private Architecture
October 20233 weeks

AWS Machine Learning Deployment with Terraform

Engineering Dossier

Achievement Log

2023-11-10: Led 2-hour technical presentation to government stakeholders. Presented 5+ comprehensive ML solutions addressing environmental data analysis challenges, collaborating with global AI specialists and AWS solution architects. Executed end-to-end ML pipeline from data cleaning to production deployment, including model training, validation, and monitoring. Result: Successfully influenced decision-making process, established technical credibility with government officials, and positioned company for future ML initiatives.

Overview

Automated deployment of ML infrastructure using Terraform, including Elastic Beanstalk, API Gateway, Lambda, and SageMaker for model training and real-time inference.

Core Technologies

TerraformAWS SageMakerAWS API GatewayAWS Lambda

Implementation & Architecture

SageMaker Deployment

Provisioned SageMaker for model training and inference.

Execution Protocol

  1. Configured SageMaker training jobs and inference endpoints.
  2. Integrated models with API Gateway for real-time predictions.

Serverless Architecture

Implemented serverless functions using AWS Lambda.

Execution Protocol

  1. Created Lambda functions for processing API requests.
  2. Set up IAM roles for secure API access.

Technical Skills

  • Terraform
  • Amazon SageMaker
  • AWS API Gateway
  • AWS Lambda
  • Model Serving
  • ML Pipeline Orchestration
  • RESTful API Design & Management
  • AWS IAM