Hi, I am Pedro Pablo Camellon!

  • - Passionate Collaborator
  • - Cloud Solution Architect
  • - Results-Driven Approach
  • - Open Source Contributor
  • - Dedicated Learner
Pedro P Camellon

About Me

🚀💼 As a seasoned Full Stack Developer with over 7 years of experience, I've developed a deep understanding of the entire web development process. My expertise spans from front-end to back-end development, primarily utilizing Vue.js and React.js frameworks for crafting intuitive and visually appealing interfaces. 💻🎨

On the back-end, I'm proficient in Node.js, Express.js, Django and Flask, creating efficient and scalable solutions. 🏗️🚀

I also have a strong understanding of cloud computing technologies, having experience working with various cloud platforms such as AWS, Azure and Google Cloud. These DevOps skills allow me to effectively manage all stages of the software development lifecycle, from the initial coding phase to building, testing, and ultimately deploying the software. 🌐☁️

Academic Background

One of my notable academic achievements includes a project where I applied PyTorch, a Python framework, to detect lung nodules in X-rays. This experience reflects my dedication to leveraging cutting-edge technologies to solve real-world challenges. 🎓🌍

Let's Connect

I am passionate about collaborating on innovative projects. Let's connect to explore how my expertise can add value to your endeavors. Whether you're seeking top-notch UI design, cloud application development, or a blend of both, I am eager to contribute to the success of your projects! 🤝🎉

Articles

AWS Bedrock logo

Serverless LLM with Amazon Bedrock (Part 1) - Getting Started

This guide focuses on setting up Amazon Bedrock, a serverless AI service by AWS. It covers account setup, AWS CLI configuration, accessing Bedrock, and generating a model response, including a hands-on example and troubleshooting tips.

AWS Bedrock logo

Serverless LLM with Amazon Bedrock (Part 2) - Transcribing

This post guides you through using Amazon Bedrock's Large Language Model to transcribe an audio file into text. It includes setting up an AWS environment, uploading the audio to Amazon S3, and transcribing it using Amazon Transcribe, along with tips on formatting transcripts and crafting prompts.

AWS Bedrock logo

Serverless LLM with Amazon Bedrock (Part 3) - Logging

This post is a concise guide on using Amazon Bedrock to transcribe, summarize, and log audio conversations. It covers AWS setup, Amazon S3, Amazon Transcribe, Large Language Model of Bedrock, and logging with Amazon CloudWatch.

AWS Bedrock logo

Serverless LLM with Amazon Bedrock (Part 4) - Deployment

This guide explains how to use AWS Lambda for serverless architecture, where a new audio file in an S3 bucket triggers a transcription request to Amazon Transcribe, then the result is summarized by Amazon Bedrock.

A restaurant wallpaper on top of a table

Building an LLM-based Restaurant Name Generator app using LangChain and Streamlit

The post provides a comprehensive guide on how to implement an application for generating unique restaurant names using Large Language Models (LLMs) and the LangChain framework. It covers setting up the environment ...

A stock exchange dashboard

Building a Stock Exchange (Part 1) - Environment Setup

This is an introductory article detailing the steps to set up a development environment for a stock exchange system using ASP.NET Core 6 and Vue.js...

A stock exchange dashboard

Building a Stock Exchange (Part 2) - Integrating a third party API

This article This one discusses the integration of real-time stock data into an application using IHttpClientFactory, a tool that manages HttpClient instances...

A stock exchange dashboard

Building a Stock Exchange (Part 3) - Deploying App to Azure

The blog post details the process of deploying the app to Microsoft Azure. The process involves encapsulating the application within a Docker container, creating a Docker image of the application, and using Visual Studio tools for developing with Docker containers...