uday kiran
I am a Senior AI Engineer with over 7 years of experience specializing in architecting enterprise-grade intelligent systems. Currently, at Netskope, I lead the development of production-ready Agentic RAG applications using LangGraph and multi-agent workflows. Previously, at ServiceNow and Swym, I designed scalable LLM-based automation tools and personalized recommendation engines. I am passionate about solving complex architectural challenges and building AI solutions that drive real autonomy.
REVIEWS FROM CLIENTS
Senior developer (AI and Automation) at Netskope, working remotely from India. Architected and deployed a production-grade agentic RAG...
Senior developer (AI and Automation) at Netskope, working remotely from India. Architected and deployed a production-grade agentic RAG application combining LangGraph multi-agent workflows with real-time CopilotKit UI, reducing support query resolution time through intelligent document retrieval across Glean, Tavily, and Neo4j sources. Containerized with Docker using uv for Python dependency management and deployed to Google Cloud Run with CI/CD via Cloud Build.
Machine Learning Engineer at ServiceNow in Hyderabad, India. Built models to reduce manual effort by analyzing discovery logs and focu...
Machine Learning Engineer at ServiceNow in Hyderabad, India. Built models to reduce manual effort by analyzing discovery logs and focusing on new alerts via clustering. Developed an AI-powered alert management system to streamline SRE workflows, designed an LLM-based architecture with a RAG pipeline. Also built a model to optimize resource usage for ServiceNow customers, following MLOps best practices with MLflow for model tracking and implementing CI/CD pipelines for seamless deployment.
Software Engineer at SWYM, working remotely from India. Built and deployed a robust ML pipeline on Databricks to generate personalized...
Software Engineer at SWYM, working remotely from India. Built and deployed a robust ML pipeline on Databricks to generate personalized recommendations for thousands of merchants. Developed a user-friendly tool using streamlit for clients to visualize product recommendations and analyzed out-of-stock revenue data to highlight missed opportunities.