April 2025
CNN-Based Bird Sound Detection: A Comparative Performance Study
Comparative study of CNN-based approaches for bird species identification from audio signals.
Experience in developing AI and machine learning systems, with a strong interest in research and graduate study.
Tribhuvan University
Engineering Mathematics I–III, Applied Mathematics, Numerical Methods, Probability and Statistics, Artificial Intelligence, Data Mining, Digital Signal Analysis and Processing, Big Data Technologies, Data Structures and Algorithms, Software Engineering, Database Management Systems, Simulation and Modeling.
Comparative study of CNN-based approaches for bird species identification from audio signals.
Comparative study of machine learning approaches for crop recommendation using environmental data.
Research department funded research project on skin cancer detection.
International Research Journal of Multidisciplinary Technovation · Asian Research Association
Varicon AU
Melbourne, Australia · Contract · Remote
Vertex Special Technology
Lalitpur, Nepal · Full-time · On-site
Dursikshya Education Network Pvt Ltd
Kathmandu, Nepal · Part-time · On-site
IME Pay
Kathmandu, Nepal · Full-time · On-site
IME Pay
Kathmandu, Nepal · Full-time · On-site
Best Major Project Award, 2077 Batch of Computer Engineering
Developed an audio-based bird species classification system using convolutional and recurrent neural network architectures.
Developed a data-driven crop recommendation system using soil and environmental parameters including NPK, temperature, and humidity.