Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring

Git, Gcp, Azure, Python, AWS, LangChain, RAG systems, DevOps practices, Qdrant, vector databases, REST API design, Pinecone, LLM APIs, Chroma, FAISS, CI CD pipelines, Weaviate, LlamaIndex

Argo, MLops, Python, CrewAI, LangChain, Airflow, SFT, MLflow, AutoGen, LangGraph, Kubeflow, LoRA, QLoRA, LlamaIndex, RLHF

containerization , Java, Bi Tools, Dimensional Modeling, Gcp, Azure, Python, AWS, RAG architecture, MCP servers, NLP frameworks, Go, cloud-native deployments, vector databases, context memory management, semantic graph technologies, graph RAG, chain-of-graph, observability, identity as core agentic AI features

Machine Learning, Tensorflow, Nlp, Pytorch, Docker, AWS, Gcp, Python Programming, Rest Apis, Azure, Vector search, Prompt engineering, Data preprocessing, Microservices architecture, Feature engineering, Embeddings, Inference workflows, Agent-based workflows, AI services APIs, RAG pipelines, Large Language Models, LangChain, LLMs, Elastic OpenSearch, FAISS, Embedding models, Tool integrations, Google ADK, Model evaluation

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

Kotlin, Cursor, React, Typescript, Python, LangChain, embeddings, LLMs, Claude, industrial data, prompt engineering, AI ML Engineering, supply chain data, Knowledge Graph, Code Copilot

Microsoft Azure, Python, benchmarking systems, model validation pipelines, AI evaluation frameworks, automated testing solutions