Profile

CodeSmith is a serverless application built within the AWS ecosystem. It utilizes AWS Lambda for executing the code generation logic, Amazon Bedrock for accessing the meta.llama3-70b-instruct-v1:0 model to generate code based on user requests, and Amazon S3 for storing the generated code.

AWS CloudFormation Stack for VPN server.

This is a repository for immersive learning, meditation or software development.

Demo Project: React Dashboard to view temperature readings sent from an IoT device.

The expense tracker application is developed using React.js for the frontend and Node.js for the backend. It aims to provide users with a platform to manage their expenses effectively. Hosted on an Amazon EC2 instance and utilizing Amazon Aurora MySQL.

AWS lambda function that listens for Cloudflare logs pushed to AWS S3 bucket, compacts and forwards them to a log aggregator

Data Engineering Take-Home Challenge for Carro ML Engineer

A webhook deployer, getting a little help from natural language

Web Framework built on Web Standards

This repository contains a react application and backend functions for a custom ESP32 IoT system for monitoring greenhouse conditions over MQTT, submitted as part of my final computing project.

SlackからOpenAI APIを呼び出すアプリをAWS Lambdaにデプロイする

Nessie: Transactional Catalog for Data Lakes with Git-like semantics

This repository contains code for an AWS-based pipeline that automates the creation and deployment of infrastructure necessary to run a Lambda function.

Sample code to collect Apache Iceberg metrics for table monitoring

Solutions architect

This project aims to automate cloud cost optimization using Lambda functions and CloudWatch Events. By automatically managing resources such as EC2 instances, EBS snapshots, S3 buckets, and security groups, it helps to minimize unnecessary spending and improve overall efficiency in AWS environments.

CDKTF app that deploys a Lambda function written in TypeScript in a way similar to AWS CDK NodejsFunction construct

Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity.

A lambda to invoke inference requests to AWS SageMaker endpoints, using test data previous created. Helping with monitoring model performance.