Intel
Chandigarh, India
Internship (Remote/On-site)
AI Engineer Intern
- Engineered scalable AI models using deep learning and large-scale datasets, improving prediction accuracy across internal tools.
- Built and fine-tuned transformer models for NLP tasks, achieving 35% faster inference.
- Streamlined deployment with ONNX, TensorRT, and Intel® Optimization Libs, reducing latency and compute usage.
- Developed an internal AI Model Zoo with Weights & Biases for better experiment tracking and reproducibility.
- Conducted AI benchmarking on Intel hardware to optimize performance for scaling and edge deployment.
- Collaborated with MLOps teams and Senior Engineers in an Agile environment, contributing to research and code reviews.
PyTorchTensorFlowONNXTensorRTIntel OptimizationHugging FacePythonWeights & BiasesJIRAAgile
