AI and Backend Developer - Parul University
Worked as an AI and backend developer for a university-industry civic technology collaboration focused on computer vision and AI-driven civic analytics. Developed a YOLOv8-based pothole detection model and exposed results through a FastAPI REST endpoint. Built a LangChain-based NL-to-SQL system with schema-aware prompting to translate administrator queries into structured database outputs.• Fine-tuned YOLOv8 using a manually collected and annotated pothole dataset and produced bounding-box coordinate predictions. • Implemented FastAPI endpoints for image input and returning annotated outputs. • Designed an NL-to-SQL agent with schema-aware prompting and returned structured civic database results. • Managed end-to-end pipeline work including data collection, model training, API development, and institutional review submission.