Shubham Meher
Pune
Summary
To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
1
1
Certification
Work History
- Build the Flask application for Brain Tumor Detection Using CNN and Deploy it using Docker and Kubernetes
- Implementing a CNN model for brain tumor detection and trained the model on a dataset to ensure accurate and reliable predictions
- Built a user-friendly web application using the Flask framework
- The application allows users to securely upload brain MRI scans for analysis and receive real-time predictions regarding the presence of tumors
- Containerized the application using Docker for seamless deployment and isolation
- Orchestrated the deployment of the application using Kubernetes
- Implemented auto-scaling and auto-healing mechanisms within the Kubernetes cluster.
- Food Delivery Website Using React And Spring boot | tailwind CSS, redux, stripe payment and deployed with Docker and Kubernetes
- Implemented frontend with React and Tailwind CSS, ensuring user-friendly interface
- Engineered backend with Spring Boot, Hibernate, and RESTful APIs for efficient data handling
- Integrated Redux for state management and Stripe for secure payment processing
- Deployed with Docker and Kubernetes for streamlined deployment.
- Django To-Do App deployment using Docker and Kubernetes and managed network with Host IP allocation through proxy on AWS EC2
- Built Kubernetes cluster on AWS from scratch with Minikube
- Setup and managed Docker containers for Django application into Kubernetes pods
- Managed Deployment, Replication, Auto-healing, Auto-scaling for Kubernetes cluster
- Managed network and services with Host IP allocation through proxy on AWS EC2 and Route53.
- Cloud-Native Resource Monitoring Flask Application on Kubernetes using Amazon EKS
- Containerize the Flask application using Dockerfile and built Docker Image
- Pushed the Docker image to Amazon Elastic Container Registry (ECR)
- Create an Amazon EKS cluster and add node group and deploy the app.
Education
Information Technology -
Anantrao Pawar College of Engineering And Research, University of Pune
01.2024
HSC (Class XII) -
Amrutvahini Junior College, Sangamner
01.2020
SSC (Class X) -
B. G. P. Sahyadri Vidyalaya, Sangamner
01.2018
Skills
- Java
- HTML CSS
- JavaScript
- Reactjs
- MySQL
- Spring Framework (Beginner)
- Hibernate
- RESTful web services
- Git GitHub
- Linux
- Agile Scrum methodologies
- Shell Scripting
- DevOps tools ( Docker, Kubernetes, Jenkins )
- SonarQube
- Progressive mindset
- Effective under pressure
- Decisive
- Leadership quality
- Java (Vinsys IT solution)
- DevOps Pre-Requisite Course (KodeKIoud)
- Docker Training (kodekloud)
- Kubernetes For Beginner (Kodekloud)
Certification
- Java (Vinsys IT solution)
- DevOps Pre-Requisite Course (KodeKIoud)
- Docker Training (kodekloud)
- Kubernetes For Beginner (Kodekloud)
Projects
Build the Flask application for Brain Tumor Detection Using CNN and Deploy it using Docker and Kubernetes, Implementing a CNN model for brain tumor detection and trained the model on a dataset to ensure accurate and reliable predictions. Built a user-friendly web application using the Flask framework. The application allows users to securely upload brain MRI scans for analysis and receive real-time predictions regarding the presence of tumors. Containerized the application using Docker for seamless deployment and isolation. Orchestrated the deployment of the application using Kubernetes. Implemented auto-scaling and auto-healing mechanisms within the Kubernetes cluster. Food Delivery Website Using React And Spring boot | tailwind CSS, redux, stripe payment and deployed with Docker and Kubernetes, Implemented frontend with React and Tailwind CSS, ensuring user-friendly interface. Engineered backend with Spring Boot, Hibernate, and RESTful APIs for efficient data handling. Integrated Redux for state management and Stripe for secure payment processing. Deployed with Docker and Kubernetes for streamlined deployment. Django To-Do App deployment using Docker and Kubernetes and managed network with Host IP allocation through proxy on AWS EC2, Built Kubernetes cluster on AWS from scratch with Minikube. Setup and managed Docker containers for Django application into Kubernetes pods. Managed Deployment, Replication, Auto-healing, Auto-scaling for Kubernetes cluster. Managed network and services with Host IP allocation through proxy on AWS EC2 and Route53. Cloud-Native Resource Monitoring Flask Application on Kubernetes using Amazon EKS, Containerize the Flask application using Dockerfile and built Docker Image. Pushed the Docker image to Amazon Elastic Container Registry (ECR). Create an Amazon EKS cluster and add node group and deploy the app.
Timeline
Information Technology -
Anantrao Pawar College of Engineering And Research, University of Pune
HSC (Class XII) -
Amrutvahini Junior College, Sangamner
SSC (Class X) -
B. G. P. Sahyadri Vidyalaya, Sangamner