💡 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 👀)
📌 Fun fact: I treat my projects like products. If they don’t solve a real problem, they don’t make the cut.