Apis, Tensorflow, MLops, Pytorch, Gcp, Azure, Python, AWS, Generative AI, LLMs, LLMOps, Scikit-learn, Agentic AI, RAG

Spring Boot, Tensorflow, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, multi-agent systems, vector search, scikit-learn, prompt engineering, R, microservices architecture, AWS SageMaker, Google Vertex AI, Azure AI, LLM observability

Spring Boot, Tensorflow, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, multi-agent systems, vector search, scikit-learn, prompt engineering, R, microservices architecture, LLM observability frameworks, AWS SageMaker, Google Vertex AI, Azure AI

containerization , Java, Machine Learning, Artificial Intelligence, Deep Learning, Tensorflow, Pytorch, MLops, Docker, Microsoft Azure, Python, Kubernetes, LangChain, AI Platform Architecture, Generative AI, Hugging Face, AI Solution Design, Cloud-Native Architecture, Fine-Tuning Models, Prompt Engineering, LlamaIndex

Python, Technical Architect, Solution Architect, AI Specialist

Tensorflow, Pytorch, Docker, Terraform, Python, MLops, FastAPI, Kubernetes, embeddings, AWS Bedrock, vector databases, Pinecone, Azure OpenAI, Elastic, LangGraph, Chroma, LLM architectures, RAG pipelines, fine-tuning techniques, DL frameworks, LangChain, PEFT, LLMOps, AutoGen, asyncio, LoRA, Milvus, LlamaIndex

Cloud Architecture, Hipaa, Docker, Elasticsearch, FastAPI, Azure, Kubernetes, Python, AI Architecture, Generative AI, AWS Bedrock, Enterprise AI Security, FHIR, Vector Databases, Agentic AI, X12 EDI, Responsible AI, OpenAI

Dynamics 365, Power Platform, Automation, Data Modelling, Sap Erp, Commercial analytics, AI ML model development and deployment, MLOps practices, Integration frameworks, Supply Chain Analytics, Microsoft ecosystem, Azure AI, Sales pipeline optimization, Cloud architecture Azure