Professional Overview
Final-semester BCA student at Tribhuvan University (Nepal) building a practical AI/ML portfolio. I've built and deployed end-to-end projects, including a bank churn prediction ANN (TensorFlow/Keras, Streamlit, Flask), a Nepal earthquake damage model (XGBoost with SHAP explainability), and an NLP Word2Vec explorer powered by the Claude API. I'm especially interested in applying ML to real-world problems with local impact, particularly Nepal-specific datasets. I'm looking for a junior AI/ML role, remote or international, where I can keep growing while shipping production-ready work.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.