Integration, Api Development, Python, Generative AI, LLMs, DevOps practices, Agentic frameworks

Apis, Sql, Tensorflow, Numpy, Nlp, Pytorch, Pandas, Docker, Azure, Python, AWS, scikit-learn, RAG with embeddings, vector databases, responsible AI, CI CD pipelines, Transformers, evaluation monitoring, model serving

Microservice Architecture, Tensorflow, Numpy, Pytorch, Pandas, Docker, Rest Apis, Kubernetes, Python, AWS, LangChain, Qdrant, Pinecone, AutoGen, MCP

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

Unix, Front End, Linux, Unit Testing, Automation, Sql, Python, Backend, Analytical, Computer Science

Containers, Pytorch, Gcp, AWS, Kubernetes, Python, Azure, ES|QL, scikit-learn, Eland, Hugging Face, embeddings, ELSER, anomaly detection, hybrid search, prompt design, Elasticsearch inference NLP capabilities, LLM integration, vector search, Gen AI RAG, ML libraries, Elastic ML, data frame analytics, retrieval pipelines, Elasticsearch DSL, Elastic Stack, semantic search, Transformers

Deep Learning, python, Machine Learning, Natural Language Processing, Tensorflow, gen ai

Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

.NET, .Net Core, Gcp, Sql, AWS, Pytorch, Nosql, Python, Tensorflow, Azure, Docker, Scikit-learn