Gayathri Govindaraj

WORK HISTORY

EDUCATION

ABOUT GAYATHRI GOVINDARAJ

I’m a Senior AI Engineer and Enterprise Search specialist with 10 years of experience designing and deploying production-grade AI systems at enterprise scale, including LLM-powered chatbots, Retrieval-Augmented Generation (RAG) platforms, and intelligent search solutions across hospitality, healthcare, audit, and utility domains.I specialize in building reliable, high-impact GenAI systems using OpenAI, Hugging Face, LangChain, vector databases, and Azure cloud services, enabling organizations to access live data, improve decision-making, and automate complex workflows. My work has powered mission-critical operations, reduced manual analysis time from hours to seconds, and delivered measurable business outcomes.As a Sinequa- and Coveo-certified Search Engineer, I bring deep expertise in search relevancy tuning, hybrid and semantic search, personalized ranking, and NLP-driven indexing, helping enterprises significantly improve retrieval accuracy and information discoverability across large, complex content ecosystems.I also bring strong full-stack engineering experience, delivering scalable, user-centric applications using React, Angular, JavaScript, SharePoint (SPFx), and API-driven backends, ensuring AI capabilities translate into intuitive, production-ready user experiences.Currently, I work as an AI/ML Systems Engineer, owning end-to-end delivery of Generative AI, enterprise search, and AI-driven automation solutions—from architecture and model integration to production deployment. I collaborate closely with business stakeholders, product teams, and engineering leaders to translate complex requirements into robust, scalable AI systems that perform under real-world constraints.I’m deeply passionate about LLMs, agentic AI, and semantic search, and I continuously explore emerging techniques to build reliable, real-world AI systems that move beyond demos and create lasting business impact.