Python, Agentic AI development, AI evaluation frameworks, Model serving and optimization, AI observability and evaluation practices, Production ML systems, Model serving infrastructure, Agentic AI systems, Agent orchestration frameworks, LLM gateways, LLM orchestration, Containerized deployments using Kubernetes, Self-hosted model deployment, Self-hosting AI models

Tensorflow, Azure ML, Pytorch, Python, RAG embeddings, LLMs, scikit-learn, prompt engineering, SageMaker, vector stores, GCP Vertex AI, Cloud ML infrastructure

Sql, Nosql, Tensorflow, Rest API Development, Pytorch, Gcp, Docker, Azure, Python, Kubernetes, AWS, MLOps tools, NLP techniques, Feature stores, Data versioning

Machine Learning, Api Development, Python, AWS, LangChain, vector databases, Anthropic, NLP libraries, LangGraph, LLM orchestration frameworks, Mistral, Llama, OpenAI, LlamaIndex, RAG architectures

Apache Spark, Kafka, Sql, MLops, Kinesis, Databricks, Python, Aws S3, AWS Bedrock, RAG frameworks, LLMs, LLMOps, Lakehouse architectures, vector databases, Pinecone, FAISS, Delta Lake

SQL server, Deep Learning, Tensorflow, Postgres, Tableau, Presto, Machine Learning, Big Data Analytics, AWS, Pytorch, Powerbi, Python, Azure, Gcp, Scala, Spark, AI ML Modeling, Scikit-Learn, Data Stitching, Hugging Face Transformers, Sage Maker, Agentic AI Frameworks, LLM Expertise, Click house

MLops, Python, Api Development, FAISS, LanGraph, RAG pipelines, LLMs, OpenAI, vector search, SLMs, Hugging Face, embedding models, Weaviate, Anthropic SDKs, LangChain, Pinecone, Generative AI

Cloudformation, Tensorflow, Numpy, Jenkins, Git, Gcp, Pytorch, Pandas, Terraform, Spark, FastAPI, Azure, Python, Kubernetes, AWS, LangChain, scikit-learn, Hugging Face Transformers, MLflow, vLLM, TF Serving, GitHub Actions, TorchServe

Grafana, Docker, AWS, Gcp, Azure, Kubernetes, Neo4j Knowledge Graphs, Agent orchestration, Agent communication, FastAPI REST APIs, Human-in-the-loop workflows, LangSmith, Agent memory, Python Advanced, LangGraph, OpenTelemetry, RAG Vector Databases, Tool calling, LangChain, Agentic AI Multi-Agent Architectures, OpenAI Anthropic Gemini APIs, CrewAI AutoGen MCP, Prompt Engineering, Failure recovery

Python, Agentic AI systems, RAG Retrieval-Augmented Generation, ML DL model development, LLM integration, HTTP REST APIs, LLM-based applications, AI application development, prompt engineering