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Anirudh Raj - Professional in Boston, MA

Anirudh Raj

Entry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines

Northeastern UniversityBoston, MAEntry LevelWorks On-Site

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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.

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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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Education

Northeastern Universitymaster, Information Systems (2026)
BMS College of Engineeringbachelor, Information Science and Engineering (2023)

Awards

  • Best Paper Award - National Conference on Digital Technology & Engineering, RVITM
  • All-India Rank 21 - National Institute of Design (NID) Entrance Examination

Languages

English

Publications

2 publications

BlockchainSupply Chain ManagementCyberbullying DetectionNatural Language Processing

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Anirudh already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Hire with Reval

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Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.

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Anirudh RajEntry-Level Machine Learning & Cloud Engineer specializing in AI data pipelines