Vaibhav Phutane — AI Researcher

AI Platform Architect and Senior Tech Lead | Multi-Agent Systems Senior Tech Lead with 9+ years of experience in AI platforms, generative AI, and scalable multi-agent systems. I specialize in designing LLM-powered solutions for insight generation, text-to-SQL interfaces, and enterprise-grade agent orchestration—enabling organizations to unlock faster, smarter decision-making. At CommerceIQ, I architected and led the development of a production-grade multi-agent platform using LangGraph, LangChain, and LangSmith. From Supervisor–subagent hierarchies to RCA Agents for KPI diagnostics, I have built AI systems that autonomously analyze data, surface insights, and enhance business intelligence at scale. Career Highlights GenAI Insights Platform: Delivered a system capable of interpreting any data visualization, powered by a Neo4j-based metric knowledge graph, adaptive inference, and fine-tuned LLMs. Text-to-SQL Systems: Built modular, schema-aware Text2SQL agents with feedback loops and benchmarking against Databricks Gennie, Defog, and StarCoder. Agent Evaluation: Designed CI-integrated agent testing frameworks with GPT-based evaluation metrics, improving reliability and explainability. Content and Sentiment AI: Developed recommendation engines and multilingual sentiment analysis APIs, providing retail brands with actionable insights across Amazon, Walmart, and Target. Technical Toolkit Languages and Frameworks: Python, JavaScript, TypeScript, Vue, React, Node.js LLMs and Agent Systems: LangGraph, LangChain, LangSmith, RAG pipelines, OpenAI (GPT-4, O1, O3), LLaMA, fine-tuning, Text2SQL, MCP AI Infrastructure: Neo4j, Pinecone, Databricks Delta Lake Cloud and DevOps: AWS, Terraform, Jenkins, GitHub Actions Testing and Evaluation: Jest, Cypress, Agent Eval, LLM-as-a-Judge I am passionate about pushing the boundaries of AI and agentic architectures, turning abstract ideas into real-world platforms that transform the way businesses analyze data and act on insights. Always exploring new ways to connect large-scale data, LLMs, and automation to drive measurable impact.

Stackforce AI infers this person is a SaaS expert specializing in AI-driven multi-agent systems and data analysis.

Experience: 9 yrs 8 mos