• Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud. • Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using GCP Vector Search or Pinecone. • Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance. • Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks. • Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques. • Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved.