Teams at CreateFuture

Lead design and deliver a production-grade MLOps platform on AWS SageMaker, migrate and validate existing production models, build CI/CD for model promotion, enforce security and governance (IAM, KMS, VPC), create reusable MLOps patterns, produce documentation/runbooks, and communicate migration risks to technical and non-technical stakeholders.

Lead and mentor a team of Product Managers, shape product strategy and delivery for enterprise clients, run discovery and workshops, apply AI and data to drive product decisions, support recruitment and career development, and improve product management ways of working across engagements.

Design, build, and operate production-grade agentic AI systems on Amazon Bedrock. Implement multi-agent orchestration, MCP servers, RAG pipelines, vector stores, and integrations. Use AWS serverless (Lambda, DynamoDB, S3), instrument observability (CloudWatch/tracing), and collaborate with client teams to deliver scalable AI agent solutions.