CropCycle

Contributed to AI-driven global NGO collaborations under Omdena, leading the development team and supporting frontend and ML integration efforts across healthcare and agriculture domains. Built and integrated a React Native frontend for CropCycle, a smart crop rotation solution, and connected it to a Django/FastAPI backend serving ML models with 92% accuracy across 15,000+ crop data points.

Collaborated on ML workflows involving Random Forest classification and Genetic Algorithms, while implementing REST APIs, JWT auth, and Redis caching to optimize API response times by 60%. Reviewed and provided design feedback on Figma prototypes for VisionVitals, ensuring intuitive UI/UX alignment for a remote diagnostic vision screening platform.