object detection , Machine Learning, Cuda, Deep Learning, Tensorflow, Neural Networks, Pytorch, Python, Code reviews, Segmentation, sensor fusion, Perception algorithms, Tracking, Build processes, Software engineering principles, Scientific computing libraries, Source control management, Classification, Testing methods

Pytorch, TVM, simulator-based prototyping, MLIR, neural network architectures, ML compilers, TensorFlow Lite, ONNX Runtime, on-device inference toolchain development, AI ML algorithms, quantization, model optimization

Machine Learning, Databricks, versioning, Feature Engineering, Model Training, Low-Latency Inference, Job Orchestration, Monitoring

Machine Learning, Debugging, TensorRT-LLM, DeepSpeed, Data Processing, fine tuning, model deployment, Megatron-LM, GPUs, SGLang, vLLM, model evaluation, TPUs