Rohit Chivukula

Onboarding into a Product Management Externship focused on prototyping a feature to increase BeReal’s monthly active users, benchmarking competitors like TikTok and Instagram to identify engagement-driving features and gaps

Product Management Extern - BeReal (via Extern) - Remote

(2026-08)

Onboarding into a Product Management Externship focused on prototyping a feature to increase BeReal’s monthly active users, benchmarking competitors like TikTok and Instagram to identify engagement-driving features and gaps

Data Science Intern - LLM at Scale - Remote

(2025-01 - 2025-05)

• Architected a multi-agent AI system using CrewAI with three role-specific agents (Data Collector, Meteorologist Expert, Local Reporter) that autonomously coordinate via MCP to generate real-time weather forecasts powered by a local LLaMA 3 LLM
• Reduced end-to-end report generation time by 60% (2.5s → <1s) by engineering an agentic ETL pipeline in Python that parallelized weather, air-quality, crime, and disaster data processing across distributed agent tasks
• Improved agent initialization speed by 40% by building a ZIP-to-city geospatial resolution module integrating three external APIs (Geocode, OpenWeatherMap, SerperDev), leveraging GitHub Copilot to accelerate implementation
• Reduced S&P 500 forecast error by 20% by selecting the optimal model via Welch’s t-test A/B experiments comparing Linear Regression and Random Forest models, using quantitative telemetry and metrics to drive operational decisions

Bachelor of Science - Computer Science - Sacramento State University (2028-05)

TIP 103: Advanced Technical Interview Prep - CodePath (2026-02 - 2026-05)