Hi, I'm
Data Scientist & AI Engineer
Master of Data Science student at Macquarie University. I build machine learning models, data pipelines, and full-stack AI products that solve real problems.
I'm a Data Science graduate student at Macquarie University, Sydney, with a background in Information Technology from NCIT, Nepal. I specialise in machine learning, predictive modelling, and full-stack Django development.
I've built real-world projects spanning computer vision, deep learning, and e-commerce. I love the challenge of taking a model from notebook to production and making it actually useful.
AI-powered food diary — upload a meal photo, get instant nutrition breakdown, and track daily macros against personalized goals. Built with EfficientNet-B0, LLaMA 3.2, USDA API, and Streamlit.
View on GitHub →CNN trained on plant leaf images achieving 90%+ classification accuracy across multiple crop diseases. Deployed via Django — users upload images and receive real-time diagnoses instantly.
View on GitHub →Full-stack Django platform for buying and selling university study notes. Features role-based access, Stripe payment integration, purchase history tracking, and a responsive interface.
View on GitHub →Web app for scraping specific data from websites by selecting areas of interest.
Live Demo →ML system classifying student outcomes (Graduate, Dropout, Enrolled) using academic and socioeconomic features. Benchmarked 8 models including Random Forest, SVM, and MLP with RandomizedSearchCV.
View on GitHub →Real-time face tracking using MediaPipe Face Mesh and OpenCV to estimate head pose and infer on-screen attention. Logs timestamped signals and produces daily/weekly focus reports in Power BI.
View on GitHub →My technical toolkit across the data science and software development stack.
Courses and certifications I've completed to sharpen my skills.
Open to full-time roles, internships, and collaborations.
Drop me a message and I'll get back to you.