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

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

MLops, Performance Tuning, Rest Apis, Microservices, LLM evaluation techniques, Reliability, system scalability, RAG pipelines, agent-based systems, prompt engineering

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

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

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

Data Analytics, Aws Services, Microservices, Devops, Cloud Computing, AI Native Development Methods, Domain-Driven Design, Tools and Methodologies

Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs