Sonali Sharma

Developed and deployed production-focused LLM-powered features to automate workflows, improve information retrieval, and enhance user interaction across live applications. Built RAG pipelines and integrated AI-driven workflows to solve real-world business problems and improve system capabilities. Designed context-aware systems using prompt engineering, dynamic context injection, and structured response generation for accurate and relevant outputs. Leveraged embeddings, vector databases, and external APIs to enable efficient information retrieval and task automation, deploying these solutions on cloud environments for scalability and reliability. Collaborated with cross-functional teams to deliver scalable, production-ready solutions, continuously optimizing performance, reliability, and user experience end-to-end ownership.

Developed and deployed LLM-powered features for ZEIL's live applications, enhancing user interaction and automating key workflows. Built RAG pipelines, context-aware systems with prompt engineering, embeddings, vector databases, and external API integrations to enable efficient information retrieval and task automation on cloud environments. Collaborated with cross-functional teams to deliver scalable, production-ready AI solutions.

Managed and enhanced website functionality using HTML, CSS, JavaScript, and WordPress, ensuring a responsive and high-performing user experience. Used Google Analytics insights to drive data-informed improvements in user engagement, navigation, and overall site performance. Implemented UX/UI enhancements to improve accessibility, streamline user journeys, and align with business goals. Maintained hosting, domain, and security configurations to ensure reliability, performance, and uptime. Leveraged AI tools for content creation, UX optimization, and development efficiency, while exploring automation to streamline repetitive tasks.