Express, PostgreSQL, Dynamodb, Node.js, API design, Microservices, Django, React, Docker, MySQL, Cloud Infrastructure, Flask, MongoDB, FastAPI, Azure, Kubernetes, Python, agentic AI frameworks, RAG patterns, prompt engineering, Next.js

Kubernetes, Sql, Django, BigQuery, MySQL, FastAPI, Nosql, Python, Docker, Flask, PostgreSQL, MongoDB, RAG pipelines, Cloud Run, Embedding vector databases, Google Cloud Platform GCP, LLM integrations, CI CD pipelines, Prompt engineering

MLops, AWS, Python, Kubernetes, Azure, Gcp, Docker, ML fundamentals, LLMs, LlamaIndex, MLflow, Kubeflow, Agent frameworks, CI CD, AutoGen, LangChain, CrewAI

Microsoft .NET, Azure Databricks, C Sharp, Azure Data Factory, Cosmos DB, Azure Blob Storage, Azure Data Warehouse, data modeling techniques, HD Insight, Azure SQL Database, Azure Data Lake Storage, Azure cloud platform, AI ML algorithms, AI ML frameworks

AI ML, Tensorflow, Nlp, Pytorch, Python, spaCy, Generative AI, Langchain, Transformers, LLMs, scikit-learn, Hugging Face, anomaly detection, Pinecone, prompt engineering, Word2Vec, FAISS, TF-IDF, BERT, ChromaDB, Langraph

Azure ML, Docker, Python, Kubernetes, Generative AI, LangChain, LLMs, Hugging Face, vector databases, Pinecone, LangGraph, GCP Vertex AI, Chroma, FAISS, AWS SageMaker, RAG, OpenAI

GCP), Retrieval-Augmented Generation (RAG), Cloud-based AI deployments (AWS, MLops, Azure, Distributed Systems, Python, AWS, LangChain, Tool Calling, Generative AI, Orchestration tools, Agentic AI, MCP Model Context Protocol, CI/CD pipelines, Microservice integration, Workflow automation platforms, LlamaIndex, Prompt Engineering

Machine Learning, Ml, Natural Language Processing, Nlp, Deep Learning, Neural Networks, Python, Tensorflow, Pytorch, Large Language Models, Llm, Generative AI, GenAI, Hugging Face, LangChain, AI Model Deployment, Data Pipelines, Cloud AI

snowflake , Unix, Machine Learning, Sql, Python Programming, Tensorflow, MLops, Pytorch, Linux, MySQL, Flask, FastAPI, LangChain, LLMs, AI Agents, Scikit-Learn, AutoGen, Multi-Agent Systems, Model Deployment, RAG, Prompt Engineering