Deploy AI within your existing infrastructure.
I help engineering teams ship AI systems that work with what you already have. Infrastructure engineer, creator of streamll.
What I bring
- 4+ years building AI platforms in regulated environments
- Production systems serving 5000+ daily users
- Open source: streamll for DSPy production deployments, OpenTelemetry Operator
- Real experience: Legacy system integration, compliance, scale
streamll
Production-ready streaming layer for DSPy applications
Stream events, tokens, and telemetry from your DSPy modules directly to your existing infrastructure (Redis, RabbitMQ, Kafka). Built for real production environments where observability matters.
What I do
- AI infrastructure: Design and deploy scalable AI platforms, bridging legacy systems with modern ML approaches
- Data platforms: Build experimentation environments and production pipelines for data science teams
- Cloud architecture: Kubernetes, AWS, infrastructure as code - the boring stuff that makes everything work