Siddhesh Pallor

MCA student · Cloud Computing and DevOps Intern

Thane, Maharashtra, India

@siddhesh_pallor

LinkedIn GitHub

0 followers

About

MCA student with hands-on experience in cloud infrastructure, DevOps automation, and CI/CD pipelines. Builds and deploys containerized applications on AWS using Terraform, Docker, Jenkins, and GitHub Actions.

Experience

Cloud Computing and DevOps Intern

Maincrafts Technology

Mar 2026 – Jun 2026

Provisioned AWS infrastructure using Terraform; built CI/CD pipelines using GitHub Actions and Jenkins; containerized applications using Docker and deployed them on AWS EC2 with Nginx reverse proxy; automated infrastructure provisioning using Infrastructure as Code.

Education

Master of Computer Application (MCA)

St. Wilfred’s College of Computer Sciences, Thane Mumbai

Sep 2024 – Jul 2026
Master of Computer Application (MCA)

St. Wilfred’s College of Computer Sciences, Thane Mumbai

Sep 2024 – Jul 2026
Master of Computer Application (MCA)

St. Wilfred’s College of Computer Sciences, Thane Mumbai

Sep 2024 – Jul 2026
Master of Computer Application (MCA)

St. Wilfred’s College of Computer Sciences, Thane Mumbai

Sep 2024 – Jul 2026
Bachelor of Science (IT)

BNN College Mumbai

Information Technology · Jun 2020 – May 2023
Bachelor of Science (IT)

BNN College Mumbai

Information Technology · Jun 2020 – May 2023
Bachelor of Science (IT)

BNN College Mumbai

Information Technology · Jun 2020 – May 2023

Skills

<3 months

SSH Bash Python Networking

Tools / apps / platforms

3 to 6 months

Nginx Docker Terraform Jenkins CI GitHub Actions Amazon Web Services AWS Amazon Elastic Compute Cloud EC2

<3 months

S3 Git SQS Linux GitHub Lambda Ollama Ubuntu ChromaDB CloudWatch Microsoft Windows

Projects

RAG-Based API with LLM Integration

Python, FastAPI, ChromaDB, Ollama

Developed an API using retrieval-augmented generation for context-aware responses and integrated backend LLM support for intelligent outputs.
RAG-Based API with LLM Integration

Python, FastAPI, ChromaDB, Ollama

Developed an API using retrieval-augmented generation for context-aware responses and integrated backend LLM support for intelligent outputs.
RAG-Based API with LLM Integration

Python, FastAPI, ChromaDB, Ollama

Developed an API using retrieval-augmented generation for context-aware responses and integrated backend LLM support for intelligent outputs.
CI/CD Pipeline with Docker and AWS

Docker, GitHub Actions, AWS

Built a CI/CD pipeline using GitHub Actions for automated deployment, containerized the application using Docker, deployed it on AWS EC2, and configured Nginx as a reverse proxy.
RAG-Based API with LLM Integration

Python, FastAPI, ChromaDB, Ollama

Developed an API using retrieval-augmented generation for context-aware responses and integrated backend LLM support for intelligent outputs.
CI/CD Pipeline with Docker and AWS

Docker, GitHub Actions, AWS

Built a CI/CD pipeline using GitHub Actions for automated deployment, containerized the application using Docker, deployed it on AWS EC2, and configured Nginx as a reverse proxy.
CI/CD Pipeline with Docker and AWS

Docker, GitHub Actions, AWS

Built a CI/CD pipeline using GitHub Actions for automated deployment, containerized the application using Docker, deployed it on AWS EC2, and configured Nginx as a reverse proxy.
CI/CD Pipeline with Docker and AWS

Docker, GitHub Actions, AWS

Built a CI/CD pipeline using GitHub Actions for automated deployment, containerized the application using Docker, deployed it on AWS EC2, and configured Nginx as a reverse proxy.
Serverless Image Processing Pipeline

AWS, Lambda, S3, SQS, Python, Terraform

Built an event-driven image processing pipeline using Amazon S3, AWS Lambda, and Amazon SQS to automatically process uploaded images. Implemented image resizing and compression using Python (Pillow) and provisioned the infrastructure using Terraform.
Serverless Image Processing Pipeline

AWS, Lambda, S3, SQS, Python, Terraform

Built an event-driven image processing pipeline using Amazon S3, AWS Lambda, and Amazon SQS to automatically process uploaded images. Implemented image resizing and compression using Python (Pillow) and provisioned the infrastructure using Terraform.
Serverless Image Processing Pipeline

AWS, Lambda, S3, SQS, Python, Terraform

Built an event-driven image processing pipeline using Amazon S3, AWS Lambda, and Amazon SQS to automatically process uploaded images. Implemented image resizing and compression using Python (Pillow) and provisioned the infrastructure using Terraform.
Serverless Image Processing Pipeline

AWS, Lambda, S3, SQS, Python, Terraform

Built an event-driven image processing pipeline using Amazon S3, AWS Lambda, and Amazon SQS to automatically process uploaded images. Implemented image resizing and compression using Python (Pillow) and provisioned the infrastructure using Terraform.

Courses & certifications

Cloud Infrastructure and Services · IGNOU · 2026
Cloud Infrastructure and Services · IGNOU · 2026
Cloud Infrastructure and Services · IGNOU · 2026
Cloud Infrastructure and Services · IGNOU · 2026
AWS Cloud Practitioner Essentials · Amazon Web Services · 2025
AWS Cloud Practitioner Essentials · Amazon Web Services · 2025
AWS Cloud Practitioner Essentials · Amazon Web Services · 2025
AWS Cloud Practitioner Essentials · Amazon Web Services · 2025

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.