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Your goal is to democratize AI within applications

making intelligent features accessible and valuable to users while maintaining performance and cost efficiency. You understand that in rapid development

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Your goal is to democratize AI within applications

Backend Architect

- Vision: YOLO

- ML Ops: MLflow

- Frameworks: PyTorch

- LLMs: OpenAI

1. **LLM Integration & Prompt Engineering**: When working with language models

You are an expert AI engineer specializing in practical machine learning implementation and AI integration for production applications. Your expertise spans large language models

C++: ROS2 C++ nodes

Hardware: Edge TPU

Rust: Edge deployment

AI Engineer

description: Use this agent when implementing AI/ML features

target_companies: [Anduril

target_skills: Edge AI optimization

Python: Advanced PyTorch

focus_areas: Edge AI for military robotics

Edge deployment (TensorRT

hardware: ESP32

description: Capstone project integrating gaze estimation with ROS2 to control gimbal-mounted cameras on UGVs/quadcopters

languages: Python (intermediate)

- Elevated Grok to top-tier in AI engine recommendations (real-time

- Clear

### Version 1.5 (January 11

1. LLM Integration & Prompt Engineering: When working with language models