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

Microservices, Rest Apis, automation, Python, LangChain, CrewAI, Machine Learning orchestration, LLMs, cloud platforms, AI systems, Agentic Workflows, Semantic Kernel, LangGraph, AutoGen, RAG Retrieval-Augmented Generation, Vector Databases, Embeddings, semantic search, AI agents, scalable architectures, AI Workflow Design, Prompt Engineering

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

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

.NET, .Net Core, Machine Learning, Kafka, Sql, Deep Learning, Microservices, Tensorflow, Rabbitmq, Gcp, Pytorch, Restful Apis, Azure, Python, AWS, Ai