- Designed and developed RESTful APIs for an event mobile app platform using Django, PostgreSQL, and Postman including features like multi-user authentication, password management, email verification, event management, and storage. - Hosted the production database on AWS RDS to handle and manage user data and used AWS S3 for scalable image storage- Containerized and deployed the application using Docker on AWS EC2 instance, and configured Nginx for security SSL/TSL encryption, and DNS management.- Mentored and trained new interns on these technologies, fostering their understanding of backend development and API integration.- Collaborated with cross-functional teams to ensure support smooth API integration and provided technical support for front-end developers.

- Analyzed 30 dormant seasons' data on grape cultivars using SQL, visualized for predictive accuracy. - Enhanced prediction accuracy of lethal temperatures for 21 grape cultivars by adapting in-lab models with PyTorch, achieving a 0.9 RMSE improvement.- Trained deep-learning models on cultivar data, accelerating computational work 5x using shell scripting and high-performance clusters. - Co-authored "Grape Cold Hardiness Prediction via Multi-Task Learning" (IAAI-23).

- Hosted weekly lab sessions for up to 30 students to help with computer science concepts in python- Held weekly office hours to help up to 200 students with coursework and understanding of the material- Graded student assignments and gave feedback to improve student performance

- Receive and fulfilled customer orders for packaging - Load bags onto trucks for shipment