I am a recent BE graduate in Electronics, Communication and Information Technology from Western Regional Campus, IOE, Tribhuvan University. I am interested in AI/ML, computer vision, medical image analysis, and practical Generative AI applications.
I have hands-on experience with medical image preprocessing, machine learning experiments, deep learning model evaluation, and computer vision projects. I am currently learning and building practical GenAI/RAG projects.
- Python development practice
- Machine learning and deep learning projects
- Computer vision applications
- Medical image analysis
- RAG-based document question-answering systems
- FastAPI and Streamlit project development
A local Python chatbot that answers questions from PDF documents using a Retrieval-Augmented Generation pipeline with LangChain, Gemini, embeddings, and ChromaDB.
A computer vision project using transfer learning, TensorFlow/Keras, OpenCV, Flask, and hardware integration for real-time emotion detection.
A machine learning project for predicting heart disease risk using health-related parameters and Scikit-learn.
A medical AI project focused on predicting radiation-induced toxicity using radiomics, dosiomics, clinical data, and machine learning/deep learning models.
Programming: Python, C, C++, SQL, HTML AI/ML: Machine Learning, Deep Learning, Computer Vision, Transfer Learning, Model Training, Model Evaluation GenAI Exposure: RAG Applications, LangChain, Embeddings, Vector Databases, Prompt Engineering Tools: TensorFlow/Keras, Scikit-learn, OpenCV, Pandas, NumPy, Matplotlib, Flask, FastAPI, Streamlit, Git, GitHub, Jupyter Notebook, Google Colab, Kaggle
I am looking for entry-level opportunities in AI/ML, computer vision, medical image analysis, Python-based AI development, or practical GenAI application development.