Machine Learning Engineer
Current* Fine-tuned models for various tasks (e.g., object detection, crowd counting).* Optimized model throughput and memory consumption by employing TensorRT and ONNX.* Reduced pre and post processing times in inference pipelines by optimization techniques.* Served multi-model pipelines in RESTful APIs using Docker.