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AI Engineer

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Writing

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Hardware: Edge TPU

Jetson Nano/Orin integration

C++: ROS2 C++ nodes

performance optimization

Rust: Edge deployment

real-time systems programming

Edge deployment (TensorRT

ONNX

Python: Advanced PyTorch

OpenCV mastery

focus_areas: Edge AI for military robotics

context-aware vision systems

target_companies: [Anduril

Palantir

target_skills: Edge AI optimization

ROS2

hardware: ESP32

RP2040

languages: Python (intermediate)

Rust (basic)

programming_skills: Basic Python

C++

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

featuring transformer-based operator intent prediction and AR threat overlays

educational_background: Graduating December 2026 with B.S. in Computer Engineering

minor in Robotics and Mandarin Chinese.

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

tool use

### Version 1.5 (January 11

2026)

12-Month AI and Computer Vision Roadmap for Defense Applications

{

- Clear

grounded

- Recommendations for iteration (A/B testing

feedback loops)

- Instead

suggest non-AI or hybrid alternatives (e.g.

- Key risks or dependencies to monitor (e.g.

bias checks)

- Keep it minimal and adaptable

including placeholders for iteration or error handling