Physics-informed Neural Networks (PINNs), Graph Neural Networks (GNNs), C, Tensorflow, Pytorch, Python, Java, Machine Learning, C++, Deep Learning, VAEs, GANs, reinforcement learning, Generative AI, Diffusion Models, Low-level programming, Operating-system internals, Bayesian Optimization, evolutionary algorithms, Transformers

probability , Tensorflow, Deep Learning, Pytorch, Python, Java, Unsupervised Learning, Fourier neural operators, physics-informed neural networks, supervised learning, evolutionary algorithms, calculus, VAEs, DeepONet, Optimization, linear algebra, Graph Neural Networks, GANs, Bayesian optimization, Transformers, generative AI, neural operators, Statistics, diffusion models

Cnn, Tensorflow, Numpy, Git, Pandas, Pytorch, Opencv, Python, ViT, U-Net, Shapely, Jupyter Notebook, Mask R-CNN, YOLO

Aws Lambda, Neo4j, Python, AWS, AWS SageMaker, Data pipelines, Milvus, Amazon Bedrock, OpenSearch

Cuda, Git, Pytorch, Kubernetes, Python, Hugging Face, Ray, MLflow, ROCm, vLLM, Kubeflow, Docling, Go

Keras, Pytorch, Java, Python, Tensorflow, Intel, Qualcomm, ONNX, Nvidia Jetson, Resnet, Yolo, Mobilenet

Gcp, Docker, Azure, Kubernetes, Python, AWS, Airflow, MLflow

bayesian inference , Java, Scala, Deep Learning, Tensorflow, Nlp, Pytorch, Gcp, Docker, Kubernetes, Python, AWS, Airflow, Generative AI, Scikit-learn, MLflow, reinforcement learning, Recommendation Systems, Julia, Time Series Forecasting, Kubeflow, Feature stores

Gcp, Docker, Terraform, Azure, Helm, Kubernetes, Python, AWS, Airflow, MLflow, SageMaker, Google OR-Tools, CI/CD pipelines, Kubeflow, Vertex AI