AWS GenAI Strategy & Architecture

  • Custom AI architectures using Amazon Bedrock, AWS Inferentia, Trainium

  • AI workload optimization for cost-efficiency

  • Enterprise-level AI adoption roadmap

AI Model Development & Deployment

  • Fine-tuning LLMs with Amazon SageMaker

  • Building domain-specific AI models

  • Real-time AI inference with AWS-managed solutions

AI-Powered Data Engineering & Analytics

  • Data pipelines optimized for GenAI using AWS Glue, Redshift, Lake Formation

  • AI-driven data insights & decision-making

  • Automating AI data ingestion & governance

AI Automation & DevOps (MLOps)

  • CI/CD for AI models with AWS CodePipeline, CodeBuild

  • AI-powered cloud infrastructure automation

  • Real-time monitoring of AI applications

AI Security & Compliance

  • AI model governance & bias detection

  • Data security with AWS Macie, GuardDuty, KMS

  • AI compliance strategies for GDPR, HIPAA, SOC 2

AI Cost Optimization & FinOps

  • Reduce AI inference costs with Inferentia & Trainium

  • Optimize GPU & TPU usage in cloud environments

  • AI model compression to improve cost-efficiency