Nathan KERMANI

Machine Learning Engineer
Focus: Computer Vision / AI Systems / Model Optimization
Status: Seeking 2026 Internship Opportunities

LinkedIn / Email

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🛠 Operational Stack

Domain	Technologies
Deep Learning	PyTorch, TensorFlow, HuggingFace, JAX
Computer Vision	OpenCV, YOLO, MediaPipe, TorchVision
AI Systems	LangChain, Vector DBs (Chroma/Pinecone), RAG
Engineering	Python, C++, C, Rust, Docker, Linux, Git

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🚀 Featured Research & Development

Currently focusing on high-performance Computer Vision and RAG architectures. Selective projects will be published upon completion.

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📊 Technical Interests

• Computer Vision: Deep Dive into Vision Transformers (ViTs) and zero-shot detection.
• AI Efficiency: Model quantization (INT8/FP16) and edge deployment.
• Systems: MLOps pipelines and distributed training architectures.

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