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Alex Prasad

@alexprasad

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Cloud and AI intern building AWS-native platforms, automation pipelines, and CI/CD for reliable, scalable systems.

India

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What I'm looking for

I’m looking for a role where I can build AWS cloud-native systems, automate ML/data workflows, and strengthen CI/CD, monitoring, and security—so deployments are faster, operations are reliable, and delivery stays on time.

I’m an AI and Cloud intern who builds AWS-based, cloud-native solutions and turns manual work into scalable automation. In my internship work, I developed Python automation pipelines for ML workflows, including self-executing AI workflow pipelines for automated model execution and scalable data processing.

I also focus on reliability, security, and measurable efficiency. I built scalable cloud automation that reduced manual workload by ~40% and operational effort by ~30%, and I delivered on-time results with cost-optimization and high-availability strategies. My projects include an AWS disaster resilience platform on EKS/DynamoDB/S3/SNS with Terraform provisioning and GitHub Actions CI/CD (cutting deployment time by 60%), plus monitoring/logging and IAM-based access to improve fault tolerance.

Experience

Work history, roles, and key accomplishments

AI Intern

Coding Raja Tech

Jun 2024 - Present (2 years)

Developed Python-based automation pipelines for machine learning workflows, reducing manual processing effort and improving system efficiency; architected self-executing AI workflows for automated model execution and scalable data processing, and optimized database systems for high-integrity tracking and reliable performance.

Python Machine Learning Workflows Workflow Automation Database Optimization Systems Performance

Cloud Intern

Gokboru Tech

Mar 2024 - Present (2 years 3 months)

Built scalable Python automation pipelines for machine learning and data processing, reducing manual workload by ~40% and improving processing efficiency; automated cloud operational workflows with Linux scripting (reducing manual effort ~30%) and implemented cost-optimization and high-availability strategies to improve infrastructure utilization and deliver 100% on-time with a 4-person team.

Python Cloud Operations Cloud Automation Cost Optimization High Availability