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vasmb

Infrastructure and backend engineer with 3.5+ years of experience in AWS/Redshift control-plane systems, seeking AI/ML infrastructure, platform, or backend roles at Series A/B AI companies.

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Remote San Francisco mid 3.5 years experience

Skills

PythonC++SQLAWSCDKCloudFormationLambdaEventBridgeDynamoDBDockerKubernetesCUDAPyTorchbackend engineeringinfrastructure engineeringcontrol planeautoscalingfailoverstate managementML infrastructureplatform engineering

Domains

backend infrastructure platform ML infrastructure AI/ML
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  Location: San Francisco, CA
  Remote: [Yes / Hybrid / On-site SF]
  Willing to relocate: Yes for NYC and London
  Technologies: Python, C++, SQL, AWS (CDK, CloudFormation, Lambda, EventBridge, DynamoDB), Docker, Kubernetes, CUDA, PyTorch
  Résumé/CV: https://drive.google.com/file/d/1Bs9hjqXn26KlqcELGOpijO0g9nH6KCIC/view?usp=sharing
  Email: [email protected]

Infrastructure and backend engineer, 3.5+ years. I work on the Amazon Redshift control plane at AWS.
I built the production control-plane backend for Redshift Serverless's AI-driven autoscaler: resize orchestration, failover, and state management. I'm the person who makes ML systems run reliably in production, not the one training the models.
Other work at AWS:
- Cut deployment blast radius ~95% with fault isolation on a core orchestration service. Zero rollbacks.
- Cut multi-region deployment time from 3-4 weeks to 5-7 days by moving core services to AWS CDK.
- Led the Graviton4 rollout for Redshift Serverless. ~30% per-node compute gains, zero customer impact.
Before that I shipped a CUDA MRI reconstruction solver and a 3D U-Net on Vertex AI at a medical imaging startup. MS EE, Columbia.
Looking for: AI/ML infrastructure, platform, or backend roles at Series A/B AI companies.

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