Data Science & Artificial Intelligence
I am an undergraduate Mathematics student interested in applying machine learning and deep learning to real-world problems. I am keen on using my mathematical and statistical background to create meaningful, data-informed solutions. My interests include large language models and RAG pipelines, and I enjoy prototyping ML systems and turning data into actionable insights. I am open to collaboration and interested in apprentice or trainee roles, particularly in research-oriented environments.
An AI-powered system that helps farmers diagnose paddy crop diseases and receive actionable treatment guidance.
Built a PyTorch CNN on MNIST handwritten digit recognition.
Developed an LSTM model using IoT sensor data to predict landslides in high-risk Nepali zones.