bedrock , Elk, Prometheus, Grafana, Docker, Terraform, Python, AWS, Bash, Jenkins, DevSecOps, Ansible, Vault, Restful Apis, Helm, Azure, Kubernetes, MLflow, GitHub Actions, OpenTelemetry, Langfuse, LangChain, LLMOps, AWS Snowflake, SageMaker, CI CD pipelines, AWS Secrets Manager, ML frameworks

Tensorflow, Pytorch, AI and Machine Learning algorithms, RAG neural networks, AI ML frameworks

containerization , Java, Version Control, Microservices, Angular, Vue.JS, React, Agile, Api, Python, GenAI, Ai, CI CD, prompt engineering, AWS AI, Google Vertex AI, LLM integrations, automated deployments, Azure AI, RAG pipelines

Sql, Python, LangChain, embeddings, RAG architecture, SLM APIs, vector databases, Anthropic, LangGraph, AutoGen, LLM APIs, GCP Vertex AI, memory systems, IBM WatsonX, OpenAI, Cohere, LlamaIndex

Machine Learning, Nlp, Docker, Python, MLops, Kubernetes, tool integration, multi-agent orchestration, vector databases, CI CD, task planning, Agentic AI systems, LangGraph, AWS AI, Google Vertex AI, RAG pipelines, LangChain, Generative AI, LLMs, AutoGen, FAISS, reasoning workflows, Milvus, Azure AI, Weaviate, Gemini

Databases, Apis, Python, LangChain, Generative AI, tool function calling, LLMs, prompt chaining, agent frameworks, prompt engineering, LangGraph, Agentic AI, structured agent workflows

Python, LangChain, embeddings, pgvector, Qdrant, LLM integration, vector databases, Pinecone, gRPC APIs, LangGraph, agentic workflows, prompting, Weaviate, retrieval pipelines, LlamaIndex, function calling, RAG architectures

Nlp, Gcp, Docker, Restful Apis, Azure, Python, AWS, LLM-based systems, vector databases, document processing pipelines, CI CD pipelines, AI ML systems

data engineering , Deep Learning, Tensorflow, Nlp, Gcp, Pytorch, Computer Vision, Docker, Opencv, Azure, Kubernetes, Python, AWS, CI CD integration, pipeline automation, MLOps practices, model monitoring tools