Deep Gandhi

Principal Software Engineer

Red Hat

12+ years building enterprise software & production AI systems. Specialized in Generative AI, Agentic AI, RAG & AI Platform Architecture.

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Current Role

Principal Software Engineer

Red Hat | Pune, India

Lead architecture and technical direction for enterprise AI initiatives. Building production-ready AI capabilities including Ask Red Hat (Agentic RAG), AI Case Summarization, and Enterprise AI Evaluation Framework.

Key Projects

  • Ask Red Hat: Architected Agentic RAG platform for enterprise support with hybrid retrieval, re-ranking pipelines, and hallucination reduction.
  • AI Case Summarization: Scalable summarization workflows for long-running support cases with evaluation-driven quality improvements.
  • Conversational Support Agent: Natural language interface for case management using MCP, LangGraph, and intelligent intent routing.
  • AI Evaluation Framework: Standardized platform for retrieval, generation, agent, and tool evaluation with LLM-as-a-Judge.

Core Competencies

AI/ML

Generative AI, Agentic AI, RAG, LLMs, Prompt Engineering, AI Evaluation

Frameworks

LangGraph, LangChain, LlamaIndex, MCP, vLLM

Infrastructure

Kubernetes, OpenShift, Docker, PostgreSQL, Solr

Selected Impact

  • Architected production AI systems supporting enterprise customer support
  • Established AI evaluation and governance practices for production deployments
  • Delivered AI capabilities contributing to ~$14.9M in business impact
  • Mentored engineers and influenced technical strategy across multiple teams
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