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Madhav Dhatrak

@madhavdhatrak

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DevOps intern focused on production CI/CD, Kubernetes, and cloud-native reliability through GitOps and automation.

India

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What I'm looking for

I’m looking for a DevOps role where I can build production CI/CD and GitOps-based Kubernetes delivery, improve reliability/security in cloud and on-prem setups, and keep using automation to reduce incidents and drift.

I’m a DevOps Intern building production-grade CI/CD pipelines with reusable workflows, with a focus on faster, more reliable releases. At AccuKnox, I helped drive a 60% reduction in build/deployment time and improved release reliability across teams.

I also led storage and infrastructure PoCs, including migrating from MinIO to RustFS and replacing Yandex CSI with AWS Mountpoint CSI. I automated PostgreSQL backup and restore via cron jobs with dumps stored in S3 buckets, strengthening data safety and disaster recovery.

Alongside my work, I contribute to open source as a Google Summer of Code contributor to json-schema-org—engineering Blaze4J in Java to deliver 2x faster validation and cross-platform support. I’m energized by air-gapped/on-prem Kubernetes operations, security-focused deployments, and building automation that reduces incidents and configuration drift.

Experience

Work history, roles, and key accomplishments

DevOps Intern

AccuKnox

Dec 2025 - Jun 2026 (6 months)

Built and standardized production-grade CI/CD pipelines with reusable workflows, reducing build and deployment time by 60% and improving release reliability. Led infrastructure PoCs (MinIO to RustFS, Yandex CSI to AWS Mountpoint CSI), automated PostgreSQL backup/restore to S3, and deployed/troubleshot Kubernetes and Helm workloads in air-gapped on-prem environments.

CI CD GitHub Actions Kubernetes Helm Minio RustFS AWS Mountpoint CSI

Open Source Contributor

Json-schema-org

May 2025 - Aug 2025 (3 months)

Engineered Blaze4J, a Java JSON Schema validator, improving validation throughput (2x faster) and enabling 100,000+ instance processing in under 2 seconds. Added cross-platform support across Windows, Linux, and macOS by implementing support for five JSON Schema drafts, and enhanced developer experience with improved error reporting and validation logs.

Java Cross Platform Development HTTP Resolver Classpath Resolver