Java, Nosql, Restful Apis, Kubernetes, Python, Sql, AI productivity tools, Go, AI ML technologies

composer , Tensorflow, Dataproc, Machine Learning, BigQuery, Pytorch, Artificial Intelligence, Kubernetes, Python, Docker, Gcp, LangChain, LLM lifecycle management, Scikit-learn, RAG architectures, LangGraph

Machine Learning, Nlp, Docker, Python, AWS, Gcp, Rest Apis, Azure, Prompt engineering, Model monitoring, Data preprocessing, Microservices architecture, Feature engineering, MLOps tools, RAG pipelines, LangChain, LLMs, Vector databases, Drift detection, Elastic OpenSearch, FAISS, Embedding models, Google ADK, Model evaluation

cloud security, Distributed Systems, LangChain, AWS Bedrock, pgvector, Embeddings and prompt engineering, Vector databases, Qdrant, Pinecone, scalable backend architecture, LangGraph, MCP Model Context Protocol, Google Vertex AI, Milvus, Weaviate, Generative AI LLMs, RAG architectures

Cloud Services, Apis, Microservices, REST, Docker, Distributed Systems, Kubernetes, Python, embeddings, prompt engineering patterns, event-driven systems, async systems, vector databases, Anthropic, LLM APIs, LLM evaluation frameworks, OpenAI, Gemini, production-grade AI systems, RAG architectures

secure coding , Argo, Solid Principles, Gcp, MLops, Sonarqube, Azure, Kubernetes, Python, AWS, CrewAI, Airflow, mypy, Static Analysis, MLflow, Bandit, LangGraph, AutoGen, ruff, Kubeflow, LlamaIndex

Apis, Json, Sql, Debugging, Python Programming, workflow observability, Data Analysis, Agentic Systems, LLMOps, traditional Machine Learning models, semi-deterministic testing frameworks, LangGraph, LLM Evaluation frameworks, MLOps practices, LLM APIs, RAG, MCP, deterministic testing frameworks

Python, Microsoft Azure, AI coding assistants, AI evaluation frameworks