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ATaylorAerospace/README.md

πŸ‘‹ About Me

🎯 Core Interests

  • πŸ›‘οΈ Deterministic Agents: Human in the loop control, fixed execution paths, and audit trails for autonomous systems
  • πŸ›©οΈ Commercial Aerospace: Orbital mechanics, electric propulsion, and space instrument modeling in MATLAB, Python, and C++
  • πŸŒ€ World Models: Evaluation harnesses for latent geometry in action conditioned video world models and in clinical state spaces
  • πŸ₯ Multimodal Medical LLMs: Healthcare AI and diagnostic systems
  • πŸ“ Hyperbolic Geometry for AI: Latent spaces whose geometry matches the hierarchical structure of the data they encode

🧠 AI Research & Contributions

Hugging Face Profile

πŸ€— Hugging Face profile

  • 31+ datasets across photonics, healthcare, aerospace, and legal domains
  • Ongoing work on aerospace and photonics datasets and hyperbolic representation learning, with world models as the first evaluation domain
  • Publishes models and datasets on Hugging Face
  • Contributor to the Hugging Face Computer Vision Course

Featured Research Areas

  • πŸš€ Aerospace AI: Mission profile sims, electric propulsion modeling, with MATLAB and C++ implementations alongside Python
  • πŸ₯ Healthcare AI: Medical imaging and diagnostic datasets, and geometry aware evaluation of clinical world models
  • πŸ€– Multimodal Gen AI: Cross modal learning and synthesis
  • πŸ’Ž Integrated Photonics: SiN waveguide datasets and thermal drift simulation for deep space based instruments
  • πŸ“ Latent Geometry: Hyperbolic and Riemannian latent spaces for world models

World Models Research

  • πŸŒ€ Hyperbolic-World-Model: Retrains the action conditioned predictor head of a frozen video world model (V-JEPA 2-AC, with DINO-WM as a second subject) in Euclidean, PoincarΓ©, and Lorentz latent spaces, and measures whether negative curvature improves rollout error, hierarchy recovery, and dimension efficiency.
  • πŸ₯ Clinical-Geodesic: Evaluation harness for medical world models, applying the same frozen encoder and native geometry methodology to clinical state prediction.
  • 🎯 Application targets: Clinical trajectory prediction, and fuel and time efficient space probe transfers to the asteroid belt and Jovian planets.

πŸ”¬ Current Technical Work

  • πŸ›‘οΈ Agent Harnesses: Deterministic execution, dry run safety gates, and tamper evident audit logs for production agents
  • πŸ€– Agentic AI: Production multi agent systems on Watsonx Orchestrate and Amazon Bedrock; evaluating Gemini Enterprise Agent Platform
  • πŸ› οΈ Tech Stack: Anthropic Claude (API and Agent SDK), AWS Strands Agents, Google ADK, MCP
  • πŸŒ€ World Models: Geometry aware evaluation harnesses (PyTorch, geoopt, Hydra) with CI and reproducible one command reports
  • πŸ“ Hyperbolic Latent Spaces: First evaluation of the hyperbolic representation thesis, comparing action conditioned world models
  • πŸ”Œ MCP: Building MCP servers and tooling; contributor to IBM Context Forge
  • πŸš€ Scientific Computing: Physics libraries (MATLAB, Python, C++20) with cross language numerical parity and benchmark validation

πŸ’› Collaboration

  • πŸ›‘οΈ Deterministic agent harnesses: Self verifying workflows and human approval gates for production deployments
  • πŸŒ€ World models: Latent geometry evaluation, hyperbolic embeddings, and benchmark design for embodied and clinical state prediction
  • πŸ€– Multimodal autonomous agents: Portable agent designs across Bedrock, Watsonx Orchestrate, and ADK
  • πŸ“ Hyperbolic representation learning: Hyperbolic latents for hierarchical and sequential structure, starting with world models

πŸ€– Let's Connect

  • πŸ’¬ Commercial Space Industry discussions and Propulsion insights
  • πŸ—£οΈ German Language Practice: Seeking relaxed conversations with native speakers in 2026

Hugging Face

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    Hohmann transfer orbit modeling with Hall-Effect thruster integration, implemented in Python, C++ and MATLAB with 3D visualization and validated delta-V calculations for LEO to GEO missions

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    Autonomous multi-agent framework for institutional grant proposal engineering. Optimizes formatting, compliance, and multi-source data alignment.

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    Autonomous AI agents that batch analyze legal contracts for risk, missing provisions, and cross document inconsistencies. Built on AWS Bedrock + Strands Agents SDK. This app is NOT legal advice, ju…

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  4. Hyperbolic-World-Model Hyperbolic-World-Model Public

    Framework for controlled evaluation of hyperbolic latent spaces in action-conditioned world models, with matched Euclidean, PoincarΓ©, and Lorentz predictor heads scored in their native geometry.

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  5. Photonic-Waveguide Photonic-Waveguide Public

    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…

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  6. Thermal-Agent Thermal-Agent Public

    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…

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