Open to opportunities

Kumar S Marathe

@kumarsmarathe

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Entry-level DevOps and AI Ops intern focused on cloud automation, monitoring, and data-driven model improvements.

India

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What I'm looking for

I’m looking for an entry-level role where I can support AI ops/data quality while growing in DevOps and cloud engineering—building reliable pipelines, improving monitoring, and contributing to secure, scalable deployments with a collaborative team.

I’m an AI Ops Intern (Data Annotation) who helps improve AI/ML outcomes through accurate labeling, systematic QA reviews, and large-scale dataset organization for training and validation pipelines. I enjoy turning messy data into reliable inputs, and I collaborate cross-functionally to optimize workflows and reduce turnaround time.

I’m also building a strong DevOps and cloud foundation through hands-on projects: I designed and deployed an end-to-end DevOps pipeline on AWS using Git/GitHub, Docker, Kubernetes, and Linux servers, and I built an AWS-based server monitoring system using EC2, S3, IAM, CloudWatch, and CloudTrail to improve reliability and reduce operational overhead. I’ve taken this further through an IoT-focused hackathon finalist project on Azure IoT Hub and earned relevant certifications, including AWS Solutions Architect (Associate) and Kubernetes/DevOps fundamentals.

Experience

Work history, roles, and key accomplishments

AI Ops Intern (Data Annotation)

Xtransmatrix

Nov 2025 - Apr 2026 (5 months)

Performed data annotation and labeling for AI/ML models, directly contributing to improved model accuracy. Organized large-scale datasets for training and validation pipelines, ensured data quality via QA reviews, and helped optimize annotation workflows to reduce turnaround time.

Data Annotation Data Labeling Data Quality QA Data Pipelines Workflow Optimization Cross Functional Collaboration