projects
Open-source code, research artifacts, and works in progress.
Research & Coding (Work in Progress)
Multi-Modal Synthetic Data Generation for Smallholder Farmers
A novel end-to-end framework combining multi-modal synthetic data generation with an ensemble machine-learning architecture for rapid, reproducible, and behaviourally-grounded farmer segmentation in data-scarce settings.
- 📄 Read the Manuscript (PDF)
- 📊 View Presentation Deck (PDF)
- 📋 Read Policy Brief (PDF)
- 💻 View Source Code (GitHub)
- Status: Working on manuscript.
AI & Machine Learning
Neural Pruner
A context-optimization engine designed to extract high-signal snippets from documents. Built utilizing FastAPI and OpenAI’s GPT models to drastically improve LLM context window efficiency. Status: Deployed & Refined
Hardware & Physics
Advanced Circuit Design & Signal Processing
Extensive EECS lab implementation involving breadboarding, operational amplifiers, and differential amplifiers. Focused on physical troubleshooting of wave generators and resistor networks to ensure signal fidelity. Status: Ongoing Lab Work