AWS Advanced Tier Services Partner (Differentiated) · Anthropic Partner Approved
Machine Learning
Production AWS engagements VeUP scoped, built, and operated — submitted as evidence for the AWS Machine Learning Competency. Public references are named; the remainder are shown as AWS-validated anonymized engagements.
Amazon SageMakerBedrock AgentCoreS3 + IcebergAmazon Athena
Machine Learning Applications · Connected-Vehicle ML
Sibros Technologies, Inc.
Production predictive ML on Amazon SageMaker + Bedrock AgentCore for connected-vehicle telemetry at 75B points/day
74% production accuracy vs a >70% bar · R² lifted 54% → 80%+ under strict GroupKFold · shipped in a 3-week build, customer-independent since 2026-03-03
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Identity protected
Amazon EKS (GPU)Karpenter SpotSnowflake on AWSAWS Step Functions
Machine Learning Applications · GPU ML Inference Platform
Production Engagement · Anonymized
GPU-optimized Amazon EKS ML inference platform for Emotional-AI SaaS, migrated from GCP
−40% GPU inference compute cost · ~85 ML/ETL pipelines translated with 14-day data-parity Pass · 100% of production migrated zero-downtime in a 60-day window
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Identity protected
Amazon SageMakerCapacity Blocks for MLAWS GravitonAWS Cost Explorer
Machine Learning Competency · FinServ AI/ML + FinOps
Production Engagement · Anonymized
Migrating a GPU-heavy financial-services AI workload to Amazon SageMaker, cost-engineered
FinServ AI workload migrated cloud->AWS to production · GPU cost engineered down via Capacity Blocks for ML + Graviton · scoped multi-account FinOps with CUR visibility
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Identity protected
Amazon BedrockAWS Step FunctionsAWS LambdaAmazon Rekognition
Machine Learning Applications · Multimodal Content Moderation
Production Engagement · Anonymized
Production multimodal content-moderation agent on Amazon Bedrock for a global social platform
54% → 99.58% NSFW accuracy with no fine-tuning · ~$1 per 1,000 images · 11/11 SOW acceptance criteria passed
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