Engineer * ML Explorer * Future Product Strategist
Currently a Master's student in Computer Science (MPCS) @ University of Chicago

• Build intelligent systems - simulation, automation, and data-driven insights
• Experiment with ML models that solve real-world problems
• Think at the intersection of data + product strategy

Plant Disease Detection

CNN + Focal Loss + ResNet - Boosted accuracy from 78% - 92% on 50k+ image dataset
(Practical edge: early detection saves yield + farmers' time)

Crop Forecasting with SARIMA

Forecasted crop yield cycles using NDVI vegetation data + SARIMA
(Because forecasting food is cooler than forecasting stock prices )

Python * TensorFlow * Keras * Scikit-learn * SystemC
Pandas * SQL * Docker * Spring Boot * OpenCV

• Exploring AI/ML and product strategy at UChicago
• Seeking opportunities to build, learn, and impact (Summer '26 internships )

LinkedIn * GitHub * Email

Fun fact: I treat my projects like products. If they don't solve a real problem, they don't make the cut.