rohancodestack
Hi, this is Rohan Raj Aggarwal(recently graduated with Masters in Computer-Science @ DePaul University) holding hands-on experience in AI/ML with AWS and Micros
Pinned Repositories
AI-ML-RoadMap
This repository provides a detailed roadmap to guide individuals on their journey to mastering Artificial Intelligence (AI) and Machine Learning (ML). The field of AI/ML is vast and constantly evolving, making it crucial to follow a structured learning path.
Coin-Market-API
A Python-based graphical user interface (GUI) application for managing and visualizing cryptocurrency portfolios. This user-friendly application fetches real-time data from the CoinMarket API and provides an intuitive interface to track and analyze the value of your cryptocurrency assets.
Automate-Weather-Forecast
Conversational-AI
FlashQuery
flashquery-Backend
flashquery-frontend
Flask-RealEstate-Estimator
In this project, I developed a basic model to predict house prices based on a single feature: the area of the property. Due to the simplicity of the dataset, I chose a linear regression algorithm for prediction. After training the model, I saved the parameters in a pickle file and deployed the model to a web application using Flask.
GitOps-CD
GitOps can help reduce errors, improve collaboration, and speed up time to market. It's especially useful for software developers and platform engineers who work with Kubernetes.
GitOps-CI
GitOps is a software development and deployment approach that uses continuous integration and continuous delivery (CI/CD) to automate infrastructure updates
rohancodestack's Repositories
rohancodestack/flashquery-Backend
rohancodestack/flashquery-frontend
rohancodestack/FlashQuery
rohancodestack/Conversational-AI
rohancodestack/Seamless-Deploy-A-Blue-Green-Deployment-Framework
This repository demonstrates a Blue-Green deployment strategy using Kubernetes and Jenkins. It provides a seamless way to release new versions of an application while minimizing downtime and reducing the risk during deployments.
rohancodestack/ML-Model-Deployment-on-AWS-SageMaker
Designed and deployed a scalable machine learning pipeline on AWS to detect fraudulent transactions, leveraging SageMaker for model deployment, real-time inference, and feedback-based retraining. Ensured secure data handling with S3 and tenant isolation for a multi-tenant SaaS LMS application.
rohancodestack/Serverless-Microservices-Based-Food-Delivery-System-
This project focuses on designing and implementing a serverless microservices-based application by migrating a traditional monolithic application to a modern, serverless architecture.
rohancodestack/Flask-RealEstate-Estimator
In this project, I developed a basic model to predict house prices based on a single feature: the area of the property. Due to the simplicity of the dataset, I chose a linear regression algorithm for prediction. After training the model, I saved the parameters in a pickle file and deployed the model to a web application using Flask.
rohancodestack/GitOps-CD
GitOps can help reduce errors, improve collaboration, and speed up time to market. It's especially useful for software developers and platform engineers who work with Kubernetes.
rohancodestack/GitOps-CI
GitOps is a software development and deployment approach that uses continuous integration and continuous delivery (CI/CD) to automate infrastructure updates
rohancodestack/Coin-Market-API
A Python-based graphical user interface (GUI) application for managing and visualizing cryptocurrency portfolios. This user-friendly application fetches real-time data from the CoinMarket API and provides an intuitive interface to track and analyze the value of your cryptocurrency assets.
rohancodestack/Jenkins-SonarQube-Docker
This project sets up Jenkins and SonarQube using Docker, streamlining the process for CI/CD (Continuous Integration/Continuous Deployment) and code quality analysis. Project Structure Dockerfile: This file contains the instructions to build the Docker image for Jenkins and SonarQube.
rohancodestack/AI-ML-RoadMap
This repository provides a detailed roadmap to guide individuals on their journey to mastering Artificial Intelligence (AI) and Machine Learning (ML). The field of AI/ML is vast and constantly evolving, making it crucial to follow a structured learning path.
rohancodestack/Web-Scrape-BOT
rohancodestack/Automate-Weather-Forecast