Competed in a high-intensity, 36-hour sprint to build a functional, production-ready AI solution. Our team, "Everest," developed EvidenceCV, a RAG-powered engine designed to reduce AI hallucinations in career documents by grounding resume generation in verified evidence from GitHub, research papers, certificates, and other documents which can reduce the users time by 50% + in resume generation. Secured a podium finish (3rd Place) based on technical complexity, innovation, and real-world utility.
Competed in a high-intensity, 36-hour sprint to build a functional, production-ready AI solution. Our team, "Everest," developed EvidenceCV, a RAG-powered engine designed to reduce AI hallucinations in career documents by grounding resume generation in verified evidence from GitHub, research papers, certificates, and other documents which can reduce the users time by 50% + in resume generation. Secured a podium finish (3rd Place) based on technical complexity, innovation, and real-world utility.
Led Vision Architects to victory in the e-Governance category at the All Nepal Hackathon 2023.
Featured on Kantipur Television as team leader of Vision Architects following the All Nepal Hackathon 2023 victory.
Received Best Paper Award at ICT-CEEL 2023 for research on automating driving license tests using computer vision.
Presented research work on automation of driving license test using computer vision at ICT-CEEL 2023.