Computer Engineering student from Kathmandu Engineering College, TU.
I enjoy building mobile applications and working with machine learning, particularly training models and seeing them solve real problems.
Currently deepening my Python and ML foundations and open to internship opportunities.
📍 Kathmandu, Nepal
Personal safety Android app with AI-powered emergency detection.
- Trained SVM-based scream detection model — 90% accuracy, AUC 0.948
- Built mental health chatbot classifying 14 emotional intents — 81.43% accuracy
- Built phrase detection for English + Romanized Nepali — 82.93% accuracy
- Integrated all ML models with Django REST backend and Flutter frontend
- Stack: Flutter, Django, PostgreSQL, Firebase, Python, Scikit-learn
- 🔗 GitHub
Personal finance management app built for Nepal.
- SMS parsing for automatic transaction tracking from eSewa, Khalti, banks
- OCR-based receipt scanning using Tesseract
- XGBoost spending prediction with personalized recommendations
- Stack: Flutter, Django, PostgreSQL, Firebase, Python, XGBoost
- 🔗 GitHub
ML pipeline to predict heart disease using clinical patient data.
- Compared Random Forest, Logistic Regression and XGBoost on 303 patient records
- Best model: Random Forest — 83.6% accuracy, 0.91 ROC-AUC
- Applied GridSearchCV hyperparameter tuning across 540 combinations
- Stack: Python, Scikit-learn, XGBoost, Jupyter Notebook
- 🔗 GitHub
ML model to classify health risks caused by food adulteration, with an interactive web app.
- Data preprocessing, feature selection, and Gradient Boosting model training
- Built a Streamlit web app for real-time risk prediction
- Stack: Python, Pandas, Scikit-learn, Streamlit, Jupyter Notebook
- 🔗 GitHub
Console-based ticket booking system using OOP concepts.
- Seat selection and basic booking management
- Stack: C++
- 🔗 GitHub
Mobile & Backend
Flutter · Dart · Django · Python · REST APIs
Machine Learning
Scikit-learn · XGBoost · TF-IDF · SVM · MFCC · Librosa · Pandas
Databases
PostgreSQL · Firebase
Tools
Git · GitHub · Android Studio · VS Code · Jupyter Notebook
- 📘 Programming for Everybody — University of Michigan / Coursera ✅
- 📘 Python Data Structures — University of Michigan / Coursera ✅
- 📘 Using Python to Access Web Data — University of Michigan / Coursera ✅
- 📘 Using Databases with Python — University of Michigan / Coursera (In Progress)
- 📚 Completing Python for Everybody specialization on Coursera
- 🔍 Open to internship opportunities in Flutter development and ML
- 🛠️ Strengthening ML foundations through independent projects and courses