At Symbiosis Institute of Technology, Pune, I’m studying Artificial Intelligence and Machine Learning and building applied projects across computer vision, data analytics, and machine learning.
For GreenFleet, I built a CNN and YOLOv5 pipeline to classify vehicle damage as repairable or scrap. It achieved 80% validation accuracy and 71% precision, and I filed an Indian Patent Application for the framework.
On eDNA-TaxAI, I built a hybrid species-matching pipeline using retrieval, embeddings, and sequence alignment. It achieved 94.6% Recall@10 and 98.7% accuracy on assigned fish calls, and I developed a dashboard with run history and analytics.
As a Technical & Social Impact Volunteer at SEER Bharat Foundation, I built a rule-based navigation chatbot and produced five AI literacy videos for school students. I’ve also created a credit-risk analytics pipeline and a Power BI dashboard analyzing Uber ride data.
