Available for opportunities

I build reliable cloud
infrastructure.

I'm Punit Murali, a DevOps Engineer focused on cloud infrastructure, automation, Infrastructure as Code, and building reliable systems.

GitHub
AWSTerraformDockerKubernetesLinuxAutomation

SYSTEM ARCHITECTURE

Deployment Pipeline

01

Developer

Code changes pushed

02

Git & GitHub

Version control

03

CI/CD

Automated workflow

04

Infrastructure

Terraform automation

05

AWS Cloud

Scalable deployment

Infrastructure systems operational

01 — ABOUT

More than just
infrastructure.

I'm a DevOps and cloud infrastructure enthusiast with a background spanning cloud engineering, automation, artificial intelligence, machine learning, and software development.

I enjoy understanding how systems work end-to-end — from application development and machine learning models to cloud infrastructure, automation, security, deployment, and reliability.

10+

AWS services explored

7

Featured projects

730

Internship hours

02 — SKILLS

Tools I build with.

AWS
Terraform
Docker
Kubernetes
Ansible
Linux
Git & GitHub
Bash
Python
CI/CD
Machine Learning
SQL

03 — EXPERIENCE

Engineering journey.

Cloud & DevOps Intern

Cloud Institution, Bengaluru

Provisioning and administering AWS infrastructure and containerized environments using EC2, VPC, IAM, Docker, and Kubernetes. Automating infrastructure and configuration workflows with Terraform, Ansible, Bash, and Git.

Jun 2026 — Present

AI & Machine Learning Intern

International Institute of Medical Science & Technology Council

Completed a 730-hour internship building AI and ML-powered web applications, working across API integration, frontend development, dataset preprocessing, model integration, and deployment.

Jan 2026 — May 2026

03 — PROJECTS

Things I've built.

A selection of projects exploring cloud infrastructure, AI, machine learning, computer vision, and full-stack development.

01

AWS Serverless Image Moderation

A serverless image moderation system built entirely with Infrastructure as Code. Images uploaded to Amazon S3 trigger AWS Lambda, which uses Amazon Rekognition to detect unsafe content, stores moderation results in DynamoDB, and sends notifications through SNS.

AWSTerraformLambdaS3RekognitionDynamoDBSNS
02

Mental Awareness Platform

An AI-powered mental awareness project designed to provide an interactive and supportive experience through conversational assistance and accessible technology.

PythonAIMachine Learning
03

MeetMySoul

A full-stack application built with separate frontend and backend architectures, demonstrating modern web development, API integration, and structured application design.

JavaScriptFrontendBackendAPI
04

Sign Language Interpreter

A real-time sign language interpretation system using computer vision and machine learning to recognize hand gestures and convert them into meaningful text or speech.

PythonComputer VisionMachine Learning
05

AgriVision

A crop disease detection project that uses machine learning and computer vision to analyze plant images and identify potential crop diseases.

PythonMachine LearningComputer Vision

05 — EDUCATION

2022 — 2026

B.E. in Artificial Intelligence & Machine Learning

Mysore College of Engineering and Management

CGPA: 8.4

06 — CERTIFICATIONS

07 — CONTACT

Let's build something reliable.

Interested in cloud infrastructure, DevOps, automation, or building scalable systems? Feel free to get in touch.