★ 3rd Place Winner

Crop Yield Forecast Simulation ↗

Databricks UW Hackathon

2026

Constructed a 60-to-90 day crop yield forecasting simulation on the Databricks platform. Aggregated historical Kaggle agricultural datasets, leveraged agentic AI to train a predictive ML model, automated updates via a data pipeline, and integrated AI/BI Genie space for natural-language query insights.

Stack: Databricks | Agentic AI | Machine Learning | Python | AI/BI Genie | Data Pipelines

Developed a smart voice-driven calendar assistant for mobile. Integrates Google Calendar APIs with Google Gemini AI for contextual command processing and ElevenLabs for realistic voice synthesis, allowing users to effortlessly schedule and manage events purely through voice commands.

Stack: Flutter | Dart | Google Gemini | ElevenLabs | Calendar API | Mobile

Autonomous & PID Robotics ↗

FIRST Tech Challenge • Team 9450

2022 – 2024

Architected robust robotic control algorithms utilizing PID feedback loops for sub-0.5 cm arm accuracy. Built command-based modular software for autonomous and tele-operated routines. Led the scouting division at the World Championship, co-authoring a custom scouting app and data pipeline that informed match path planning.

Stack: Java | PID Controllers | Sensor Integration | Robotics | Data Pipeline | Autonomous Systems