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justinc-code/README.md

SPACE SYSTEMS · APPLIED INTELLIGENCE · HIGH-PERFORMANCE COMPUTING

Intelligence at Orbital Scale

Senior AI / ML Engineer · Space

Building intelligent systems where models meet mission constraints.

Domain: Space LLMs: Inference and Reasoning Focus: Digital Twins

Mission · Engineering Focus · Toolkit · Collaboration


Mission

I'm a Senior AI/ML Engineer working in space systems, advancing LLM capabilities and integrating AI into complex engineering environments.

My work connects physical systems, machine intelligence, and production software—with a focus on reliability, explainability, and scale.

The model is one part of the mission. The system around it makes it useful.

Engineering Focus

01 / Model the mission

Digital twins for space systems

  • Build high-fidelity simulations of physical systems.
  • Develop state estimation, anomaly detection, and predictive modeling capabilities.
  • Integrate models across companies into a shared simulation environment.

02 / Extend the reasoning

LLMs for mission planning

  • Apply LLMs to support time-sensitive planning and decision-making.
  • Develop tool-augmented workflows and agentic architectures.
  • Optimize inference efficiency while incorporating safety-aware design.

03 / Engineer for constraints

High-performance systems

  • Write low-latency, memory-safe services in Rust.
  • Build scalable, production-grade systems in Go.
  • Profile, optimize, and harden software for real-world operating constraints.

Toolkit

Rust Go Python C++

Layer Technologies & focus
Languages Rust · Go · Python · C++
ML frameworks TensorFlow · JAX
Models & architectures Transformers · LLMs · LSTMs
AI integration MCP · Tool use · Agentic systems
Applications Aerospace · Digital twins · Mission planning
Engineering priorities Low latency · Memory safety · Scalability · Explainability

Collaboration

I'm interested in working with people building:

  • AI for physical and safety-critical systems, where reliability shapes the design.
  • Open-source infrastructure in Rust, Go, and machine learning.
  • Shared industry standards that help complex systems work together.

Model the environment. Extend the reasoning. Engineer for the mission.

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