Tapiwa Mushonga

I built an AI-based drought prediction and advisory system for Zimbabwe, creating regional climate forecasts across all districts.

I developed a pipeline that dynamically selects between LSTM, XGBoost, Random Forest, and SARIMAX models to produce optimal predictions. I also integrated the Gemini LLM API to turn structured data into localized agricultural advisory briefs.

I created an interactive full-stack dashboard for administrative extension officers and connected an SMS API gateway to broadcast predictions to registered smallholder farmers.

During my IT Support internship at Rowan Martin Building in Harare Municipality, I administered networks, workstation profiles, and Active Directory accounts while supporting hardware diagnostics, server configurations, database pipeline optimization, OS migrations, and network troubleshooting.