Neural network design principles, Deep learning frameworks, Cloud platforms, Machine Learning Operations, AI model lifecycle management, Containerization and orchestration tools, Generative AI models

Tensorflow, Automation Tools, Pytorch, Python, GenAI tools, data preprocessing, scikit-learn, LLM integration, API-based deployment, prompt engineering, GenAI integration, workflow automation, ML pipelines, ML model development, feature engineering, model experimentation

Prometheus, Grafana, Tensorflow, Cloudwatch, Pytorch, Docker, AWS ECS, AWS CodePipeline, Rest Apis, Python, Scikit-learn, vector databases, Pinecone, GRPC, async job processing, GitHub Actions, OpenTelemetry, FAISS, CI CD pipelines

Machine Learning, PostgreSQL, Deep Learning, Tensorflow, Pytorch, Gcp, Opencv, FastAPI, Rest Apis, Azure, Python, Computer Vision, AWS, embeddings, AWS Bedrock, LLMs, Hugging Face, Anthropic, prompt engineering, Vector Databases, RAG, OpenAI

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

Tensorflow, Natural Language Processing, Generative Adversarial Networks, Python, Pytorch, Machine Learning Algorithms, Text-to-Image, Conditional GANs, Latent Diffusion, Draping algorithms, Deep Neural Networks, InPainting, Image-to-Image, Feature engineering, Speech-to-Text, Data pre-processing, Text-to-Speech, Stable Diffusion, Texture Mapping, Fabric simulation, Transformers

Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning

Python, Machine Learning, Deep Learning, Tensorflow, Pytorch, scikit-learn