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Rakesh Gandham

@rakeshgandham

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Cloud & DevOps Engineer at Point9 AI who automated PrediqAI deployments, cutting deployment time by 40%.

India

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What I'm looking for

I'm seeking a fresher DevOps, Cloud, or Site Reliability Engineering role in India.

At Point9 AI, I automated the end-to-end deployment pipeline for PrediqAI with GitHub Actions, cutting deployment time by 40%. I also containerized the application with Docker and deployed it to AWS EC2 and ECS.

For PrediqAI, I set up Prometheus monitoring and Grafana dashboards, and automated infrastructure provisioning with Ansible and Bash. I worked with engineers to troubleshoot failed deployments and production incidents.

At ZeTheta Algorithms Pvt. Ltd., I deployed applications on AWS and integrated a Laravel backend with a Python AI engine through REST APIs. I also developed event-triggered Email/SMS notifications and optimized AWS resource use.

In my AWS cost optimization project, I used Python and Lambda to identify and clean up unused storage resources, combining that with a resource-tagging policy to reduce cloud storage costs by 35%. I'm seeking a fresher DevOps, Cloud, or Site Reliability Engineering role in India.

Experience

Work history, roles, and key accomplishments

DevOps Intern

Point9 AI

Sep 2025 - Jun 2026 (9 months)

Automated end-to-end deployment pipelines with GitHub Actions, cutting deployment time by 40%. Containerized applications with Docker and deployed to AWS EC2/ECS, and set up monitoring with Prometheus and Grafana.

GitHub Actions Docker AWS EC2 AWS ECS Prometheus Grafana Ansible BASH

Cloud & DevOps Intern

ZeTheta Algorithms Pvt. Ltd.

Apr 2025 - Jun 2025 (2 months)

Deployed full-stack applications on AWS using EC2, RDS, S3, and ELB. Integrated Laravel backend with Python AI engine via REST APIs and developed automated Email/SMS notification systems.