Ooad, Cnn, Deep Learning, Tensorflow, Uml, Pytorch, Design Patterns, Opencv, Keras, Python, Computer Vision, LSTM, INT8, TensorRT, GRU, ResNet, ONNX, FP16, YOLO, RCNN, VGG, model quantization

Apache Spark, Sql, Tensorflow, Pytorch, Docker, XGBoost, Databricks, Kubernetes, Python, CrewAI, scikit-learn, Feature Store, LightGBM, RAGAS, MLflow, LangSmith, Unity Catalog, AutoGen, LangGraph, Delta Lake

Machine Learning, Prometheus, Grafana, Datadog, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Apache Spark, Sql, Azure ML, Git, Gcp, MLops, Azure, Kubernetes, MLflow, CI CD, Kubeflow, Google Vertex AI, Scikit-learn, AWS SageMaker

Machine Learning, Sql, Databricks, Python, embeddings, RAG architecture, LLMs, Data Processing, vector databases, ETL Data Engineering, prompt engineering, LLM applications, AI concepts

C, Python, graph programming model, AI-ML based compiler tools, graph optimization techniques

Gcp, Rtp, Kafka, Cti, Python, Golang, Websocket, Redpanda, event-driven systems, SIP, NATS, RAG, AI ML pipelines, CCaaS

Ml, MLops, Python, Sql, GenAI, Infrastructure as Code, RAG, Applied AI, Cloud DevSecOps, Observability

Tensorflow, Software Architecture, Jax, MLops, Apache Beam, Python, Google BigQuery, Scikit-Learn

.NET, .Net Core, Gcp, Sql, AWS, Pytorch, Nosql, Python, Tensorflow, Azure, Docker, Scikit-learn

cloud platform , Machine Learning, AI ML, Python, Deep Learning