SPACE SYSTEMS · APPLIED INTELLIGENCE · HIGH-PERFORMANCE COMPUTING
Senior AI / ML Engineer · Space
Building intelligent systems where models meet mission constraints.
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.
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.
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.
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.
| 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 |
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.
