Ravi Ranjan Kumar

Architecting and developing enterprise-scale Generative AI solutions for autonomous microservices testing, leveraging RAG, AI Agents, Agentic AI, Long-Term Memory, MCP, and LLM-powered automation. Built production-grade systems spanning autonomous debugging, API discovery, intelligent test generation, and self-healing automation.

Developed an XGBoost-based lead scoring model to predict paid user conversion and built an end-to-end prediction and lead assignment pipeline. Developed and deployed an LSTM-based model to identify student engagement during live online classes, delivering real-time nudges.

Developed a BERT-based multi-class text classification system for automated grievance routing across 10+ business categories. Developed an ML-based engagement scoring system to predict user retention with over 90% precision.

Led a team of 10+ analysts delivering analytics solutions across Product, Sales, Marketing, Academics, and MIS. Designed scalable analytical platforms, customer cohort analyses, and business intelligence solutions using Python, SQL, and Tableau.

Developed analytics dashboards and optimized user funnels using Google Analytics, Firebase, SQL, Python, Tableau, and Metabase. Automated enterprise reporting pipelines and optimized ETL workflows.

Built scalable ETL pipelines and data integration systems using Python and SQL, reducing manual effort and saving over 50 hours per week. Developed enterprise reporting solutions and automated data workflows.

Developed enterprise dashboards using ServiceNow and enterprise data warehouse technologies, improving operational visibility and optimizing support ticket resolution.

Bachelor of Engineering in Information Science and Engineering from JNNCE-Shimoga, affiliated with VTU Belgaum, completed in July 2011.