Hari Krishhna Reddy G.
Sr. AI Engineer | Agentic Chatbots | Python | SQL
- Role
- Ai Engineer at Hilton Grand Vacations
- Location
- Orlando, FL, US
- LinkedIn followers
- 500 followers
About Hari Krishhna Reddy G.
Senior GenAI / Machine Learning Engineer with 7+ years of experience building and…
Experience
Ai Engineer
Jan 2025 — Present · Orlando, FL, US
Led design and deployment of AI-powered inventory forecasting and optimization platform for hospitality operations, integrating Python, FastAPI, Azure Databricks, and Azure OpenAI GPT-4o/4.1 models to enable intelligent forecasting and scenario simulation.• Developed ensemble forecasting models (demand, cancellations, early checkouts, and rule-based constraints) to predict burn rates and inventory utilization, improving planning accuracy and optimizing resource allocation across resorts.• Optimized liability burn rates by designing unit movement and reallocation strategies, balancing functional constraints, revenue targets, and operational budgets to achieve significant efficiency gains.• Architected and deployed a multi-agent chatbot system with a master orchestrator coordinating specialized sub-agents (forecasting, revenue scenarios, budgets, liabilities, OTB, lock-offs), enabling analysts and managers to query data, simulate forecasts, and make real-time decisions.• Engineered intuitive chat flows that guided users through complex datasets, reducing manual analysis time and enhancing self-service analytics for non-technical users.• Built AI evaluation and monitoring frameworks leveraging LLM-as-a-Judge systems and automated test pipelines to assess response accuracy, consistency, and business relevance, ensuring reliable model performance in production.• Collaborated across acquisitions to unify fragmented data systems, identifying critical data sources and designing robust data ingestion pipelines and metadata workflows for integrated forecasting analytics.• Partnered with product management and business teams to translate functional goals into AI-driven features, including scenario-based revenue simulations and real-time “what-if” scenarios for decision support• Recognized for bridging forecasting, data science, and AI engineering, delivering high-impact solutions that improved forecasting accuracy, reduced manual effort
Education
University of Florida
Master's degree, Computer Science
Velagapudi Ramakrishna Siddhartha Engineering College
Bachelor of Technology - BTech, Information Technology
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