Pradyumna Swarnalatha Ramanna
AI/ML engineer focused on neurosymbolic aerial object detection
Summary
Researcher focused on aerial object detection methodology, especially oriented bounding boxes (OBBs) and their application to archaeological/heritage documentation. linkedin+1
Practitioner of neurosymbolic approaches—combining neural detectors (e.g., YOLO variants with OBB support) and symbolic reasoning—to improve detection accuracy and downstream geometric reconstruction. youtube+1
Software engineer with industry experience at Profinch and hands-on contributions to teaching/course projects (Python game tutorial), indicating practical coding and collaboration experience. facebook+1
Active in dissemination and outreach—shares research updates and documentation on LinkedIn, ResearchGate, and YouTube to communicate technical work to academic and practitioner audiences. researchgate+2