Machine Learning and Agentic Workflow for High Energy Physics

• Building an MCP server that generates, tests, and deploys JavaScript pricing plugins from natural language, automating complex quote logic, cutting development time by up to 90%, and reducing reliance on developers for pricing logic updates

• Deploying an AI Agent integrated into Salesforce CPQ, improving the accuracy, consistency, and reliability of pricing logic

• Designing validation, telemetry, and monitoring to evaluate behavior, detect failure, and ensure pricing reliability in production

Valley Consulting Group is a UC Berkeley-based tech and management consulting firm that works with Fortune 500 tech companies. Each year, Valley Consulting Group receives 1,000+ applicants with <1% acceptance rate. Recent clients include Nvidia, Google, Microsoft, Salesforce, and more.

• Developed a comprehensive college ranking system using statistical analysis and a data-driven approach, leveraging 18 qualitative and quantitative variables

• Utilized PostgreSQL, Amazon Redshift, and Python to query, process, and visualize data from a dataset of over 300 million profiles

• Delivered biweekly presentations to a mentor, showcasing key insights, progress, and analytical findings

• Collaborated with a mentor and fellow interns to exchange insights, refine methodologies, and enhance data analysis techniques