Background and direction
About
I am a researcher and mobile app developer specializing in on-device AI, computer vision, and applied machine learning, with additional research in legal information retrieval and deepfake detection.
Biography
I am a mobile app developer and researcher with over three years of experience building scalable applications using Flutter, Kotlin, and Clean Architecture.
My research work spans computer vision (deep metric learning and biometric identification), AI-assisted legal information retrieval for low-resource languages, and deepfake detection.
I have contributed to projects in collaboration with international institutions, including the United Nations Development Programme (UNDP) in Nepal, and have co-authored papers at ICAIL 2025 and ICAIL 2026.
Research direction
Research interests
- Mobile Computing & Systems Architecture
- Computer Vision & Deep Metric Learning
- Biometric Identification (Livestock & Plants)
- AI & Law · Legal Information Retrieval
- Image Forgery Detection & Deepfake Classification
Methods
- Siamese neural network modeling
- Contrastive loss optimization
- Explainable AI (Grad-CAM visualization)
- Multi-environment field data collection