Rahman Rejepov

I am a software engineer focused on artificial intelligence, machine learning, and reliable production deployment. I bring strong programming fundamentals in Java, C#, Python, and JavaScript, and I adapt quickly to new technology stacks.

I have hands-on experience deploying quantized models and NVIDIA NIM containers, and I built a TensorRT-LLM engine workflow for optimized inference. My internship and certifications reinforced practical skills in model quantization, NIM deployment, and cloud AI foundations.

My projects include an NVIDIA NIM Factory for building and deploying quantized models, a PyTorch-based surgical skill assessment using 3D CNN/TSN patterns, and integrations such as a Canva Apps SDK integration and a DocuRAG extension for DocuSign powered by large models.

I am hardworking, sociable, and quality-driven, eager to join teams where I can contribute to ML engineering, cloud deployments, and full-stack product development while continuing to grow in AI and systems engineering.