A comprehensive collection of progressively challenging projects demonstrating ML Engineering capabilities on Google Cloud Platform

A discord bot to notify the new courses from Courspora

A Terraform module to start the foundations for your GCP Landing Zone. Can create folder, project, bucket and service account. It is expected to be the first Terraform code you run on the platform.

Michelin World Guide app

The book guides you on how to scale your system and boost its security, helping you become a skilled high-level cloud architect. As you progress, you will discover how individual cloud services are configured and used. The later chapters will even provide you with insights into the best GCP services and help you understand how and when to use them.

This cloud challenge focuses on enhancing and deploying "Secure-Pass-Sentinel", a password strength checker web application, using serverless cloud technologies. And deploy it using GCP or AWS.

Enterprise ELT Framework using Airbyte, dbt, Prefect, and Power BI for seamless data extraction, transformation, and visualization. This project showcases a scalable pipeline integrating SQL Server, GCP, and tabular models in Power BI for real-time analytics and business intelligence. Ideal for data engineers and analysts seeking efficient ETL/ELT.

Basic authentication module with 2FA, made with NestJS and Twilio Service and database I used Google Cloud Firestore. I used swagger for api documentation.

Is a little project with NextJS 14 and Firebase from server (firebase-admin). In this project I made a feature where You can create projects and little reviews, each review you can add text comments, image comments, audio comments.

Gemini Quizzify is an AI-powered quiz application that generates custom quizzes from uploaded documents. Using Google's Vertex AI, it creates interactive quizzes based on specified topics, offering an innovative way to enhance learning and assessment through an easy-to-use Streamlit interface.

"Vertex Claude Chat" highlights the app's Google Cloud Vertex API platform, Claude AI model, and chatbot focus. It's concise, memorable, and clearly communicates the app's purpose and technology.

Is a small project where I practice my backend skills with NestJS Framework and implements third party services in this case I integrated the twilio service for create a two factor authentication

Summer of Code 2024

I have built a Customer Complaint Analyzer which Seamlessly process and categorize consumer complaints across text, voice, images, and videos. This analyzer Harness the power of AI to streamline your customer service and improve satisfaction.

This project demonstrates a comprehensive data engineering workflow using the Uber information dataset. It covers the full spectrum of data engineering pipelines, from data transformation to deployment on Google Cloud, with a focus on creating a scalable and insightful data model.

Course resources for designing, developing, and deploying cloud-based systems using GCP, including gRPC templates, lab assignments, and the final project

● Formulated an application for students or bachelors to manage and track their expenses of last 1 or more month. ● Created web app using HTML5, Bootstrap and backend using python. ● Designed api using flask in python and Data handled in DBMS using SQL on platform of GCP.

...an automated data pipeline that retrieves cryptocurrency data from the CoinCap API, processes and transforms it for analysis, and presents key metrics on a near-real-time dashboard