Machine Learning Engineer
I build predictive systems, data pipelines, and full-stack interfaces from raw datasets to deployed products. Currently studying CS and AI at Softwarica College, Kathmandu.
An end-to-end ML pipeline trained on 10 years of international football data. Uses XGBoost and Poisson regression for match outcomes, resolved through 10,000 Monte Carlo simulations to estimate each team's probability of winning the tournament.
A classification model that processes applicant data to predict loan approval in real time. Paired with an interactive Streamlit dashboard showing feature-level explanations and approval likelihood.
A collaborative Android application centralizing pet ownership services: product marketplace, vet listings, and a community-driven lost and found board. Built with clean MVVM architecture and Jetpack Compose. Team of 5.
I study Computer Science with AI at Softwarica College, Kathmandu, while building ML systems in my own time. My focus is on models that actually work in production, not just in notebooks.
I work across the full stack of a data project: collecting and cleaning data, feature engineering, model training and evaluation, and shipping a usable interface on top.
Resume will be added soon.
Resume coming soon
Check back shortlyOpen to internships, collaborations, and interesting problems. Send a message and I'll get back to you.
