* Design, develop, and deploy enterprise-grade Generative AI solutions.
* Build end-to-end AI applications covering data ingestion, retrieval, generation, and evaluation.
* Architect and implement LLM-powered applications using modern AI frameworks and tools.
* Develop Agentic AI solutions leveraging frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
* Design and optimize RAG pipelines for enterprise knowledge retrieval and reasoning.
* Fine-tune foundation models using instruction tuning and supervised fine-tuning techniques.
* Evaluate model performance and implement model engineering best practices.
* Deploy and manage AI workloads in cloud environments (Azure, AWS, or GCP).
* Containerize and operationalize AI applications using Docker and Kubernetes.
* Collaborate with architects, data engineers, and product teams to deliver scalable AI solutions.
* Contribute to innovation initiatives, accelerators, and technology communities.

Technology-AI-Data science-PYTHON,Technology-AI-Generative AI-Generative AI - Basic-retrieval augmented generation (rag),Technology-OpenSystem-Python - OpenSystem-Python