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Anirudh Raj
Entry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines
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About
Early-career cloud/appsec-focused engineer with hands-on experience building secure, observable microservice systems on AWS (IAM least privilege, KMS encryption, Secrets Manager, CloudWatch, ALB) and troubleshooting autoscaling-related 500s down to connection pooling issues. Also deployed heavy ML workloads on Kubernetes by decomposing diffusion/transformer services, using workload identity to eliminate static credentials, and maintaining GitOps-style deployment audit trails.
Education
Key Strengths
- Designs least-privilege IAM and separation-of-concerns permissions across cloud microservices
- Implements encryption-at-rest and in-transit using KMS and custom key strategies
- Builds secure CI/CD with branch protections, dependency scanning, and immutable artifact/AMI audit trails
- Systematic production troubleshooting using CloudWatch metrics and custom metrics to isolate root causes
- Improves observability with OpenTelemetry traces/logs and Grafana dashboards
- Strong cloud security hygiene: runtime secret retrieval via Secrets Manager and avoidance of static credentials
- Kubernetes architecture decisions to decouple services for faster builds and independent scaling
- Clear technical communication to less-experienced teammates using scenario-based explanations
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