A Taylor
@atayloraerospace
Deterministic Agents 🛡️ | Aerospace & Photonics Datasets 🚀 | Hyperbolic Geometry for AI 📐 | Healthcare AI 🩺
2
Published Tools
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Published Tools
1 MCP Server1 Agentacross 1 categoryATaylorAerospace
An agentic AI workflow for SiN waveguide design that bridges modesolverpy, SAX+JAX, and gdsfactory via FastMCP. It handles eigenmode solving and inverse design for GDSII mask output, powered by AWS Bedrock AgentCore, Strands SDK, and hybrid S3/DynamoDB storage
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Tool using agent and physics simulator that recommends thermal drift mitigation strategies for deep space photonic instruments across material and environment combinations. Runs on AWS Bedrock or a self-hosted open-weight model, grounded in a 40K scenario knowledge store and an XGBoost classifier.
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