AI ML, Python, Design

AI ML, Python, Llm, RAG, Gen AI, AI Engineer

ticketing systems , workflow engines , Logging, Authentication, Python, Apis, Containers, tool calling, CI CD, Memory Design, agent architecture, enterprise APIs, multi-agent workflows, identity systems, orchestration frameworks, production observability, data platforms, cloud platforms, model routing, operational tools, LLM agentic AI, RAG, ML automation, backend services, code repositories

Rest API Development, Ocr, Python, AWS, Generative AI, AWS Bedrock, Vector databases, AI engineering, Document Processing

Phoenix, Datadog, Python, LLM-based systems, OpenTelemetry, Langfuse, Arize

Power Automate, Sql, Clustering, Azure Machine Learning, Python, Power Apps, retrieval-augmented generation, anomaly detection, time-series forecasting, Classification, prompt engineering, Regression, Microsoft Power Platform, large language models, Azure AI services, Copilot Studio, machine learning models

MLops, Pytorch, Docker, Kubernetes, Python, KV caching, batching strategies, quantization, vLLM

Java, Golang, C, Python, LangChain, RAGAS, RAG evaluation frameworks, Pinecone, AutoGen, Vector Databases, Vibe Coding, Milvus, ChromaDB, LlamaIndex, Prompt Engineering, RAG architectures, ETL pipelines

Machine Learning, Data Science, Git, MLops, Docker, Databricks, Azure Machine Learning, Kubernetes, Python, LangChain, GenAI, LLMs, vector databases, LangGraph, AWS SageMaker, RAG, cloud-based AI platforms, AI agent frameworks, model monitoring

Java, Databases, MLops, Gcp, Rest Apis, Azure, Python, AWS, LangChain, pgvector, Qdrant, Go, Claude, Pinecone, OpenAI API, LangGraph, RAG Retrieval-Augmented Generation, Milvus, Gemini, LlamaIndex