AI/ML Engineer | Edge AI & Computer Vision | Autonomous Systems | Generative AI & RAG
I design, build, and deploy intelligent systems tailored for defense, aviation, and autonomous robotics. Blending AI research, software engineering, and hardware-accelerated deployment, I focus on creating scalable, real-world applications that operate reliably from the cloud to the edge.
- Developing Edge AI & Computer Vision pipelines (NVIDIA Jetson, Raspberry Pi)
- Building fully offline RAG architectures and generative AI workflows
- Researching sensor fusion, target tracking, and unsupervised multimodal learning
- Engineering end-to-end AI systems (Data → Models → APIs → Hardware Deployment)
- HawkEye: Edge-AI computer vision platform for real-time drone detection and targeting.
- MANTIS: Fully offline Retrieval-Augmented Generation (RAG) system for technical aviation manuals.
- CDZ-TKBA-COIL100: Unsupervised multimodal decoupled architecture for autonomous real-world agents.
