Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Api Development, Tensorflow, Nlp, Pytorch, Elasticsearch, Flask, FastAPI, Keras, Python, LangChain, Scikit-learn, Pinecone, LLM techniques, LangGraph, FAISS, Weaviate, Prompt Engineering

Machine Learning (ML), Large Language Models (LLMs), Image Processing, Neural network architectures, Generative AI, Deep learning frameworks, Cloud AI services, Chatbot development, Prompt Engineering

snowflake , Machine Learning, Pyspark, ELT, Nlp, MLops, Databricks, Python, Etl, AI Agents, LLMOps, Databricks Notebooks, RAG LangChain, Delta Lake, cloud data platforms, Databricks Workflows

Artificial Intelligence (AI, probability , Machine Learning (ML, model selection , Keras, Sql, Tensorflow, Rest Apis, MLops, Pytorch, Python, Nosql, Docker, CI/CD, scikit-learn, Statistical methods, Mathematical concepts, Performance evaluation, Data preprocessing, Feature engineering, DevOps practices

Kubernetes, Sql, Pulumi, Cloud Storage, Postgres, DataFlow, Grafana, Kafka, BigQuery, Prometheus, Python, Graphql, Terraform, REST, Google Cloud Platform, GitHub Actions, Cloud Monitoring, Vertex AI, Kubeflow, Argo CD, Pub Sub, GKE, Cloud Spanner, Cloud Functions