I'm a passionate computer science enthusiast with hands-on experience in data analysis, pipelines, machine learning, and product development. I enjoy exploring the intersection of data and intelligent systems, and I'm driven by curiosity to learn new technologies and solve real-world problems. From backend systems to AI-driven applications, I love turning ideas into impactful solutions while continuously growing along the way.
Curious to discover new experiences, learn new skills, and enjoy the journey ahead—driven by passion for technology, creativity, and continuous growth.
A passionate and motivated computer science enthusiast with hands-on experience in data analysis, machine learning, and backend development. I enjoy building practical solutions that combine data engineering and AI technologies. With a solid foundation in programming and a strong curiosity for intelligent systems, I aim to contribute to innovative, forward-thinking teams. I thrive in dynamic environments where I can solve real-world problems and grow through continuous learning.
I specialize in Python, FastAPI, and ML/AI frameworks, and have worked with tools like Scikit-learn, LangChain, PySpark, and various vector databases. From academic research to building full-stack applications and AI-powered systems, I bring both technical precision and creative problem-solving to every project. Outside of coding, I enjoy exploring emerging technologies, mentoring peers, and staying curious about how data can shape the future.
A comprehensive overview of my technical skills and proficiency levels in various technologies and tools.
A showcase of my recent work, demonstrating my skills in full-stack development.
Developed a stock market chatbot leveraging large language models to provide fundamental, technical, and policy-based insights. Conducted comprehensive market research on NEPSE data, broker regulations, and user pain points. Built robust data pipelines using FAISS and LangChain for preprocessing, semantic search, query reranking, and multilingual (Nepali-English) document indexing.
A desktop-based academic management system developed using Java Swing and MySQL, featuring secure, role-based dashboards for Admin, Teachers, and Students. The application includes modular functionalities for course, student, and tutor management, along with personalized dashboards and report generation features.
An end-to-end machine learning pipeline designed to classify sentiment in text-based news data. Utilized NLP techniques such as tokenization, stop-word removal, and TF-IDF vectorization for effective feature extraction. Multiple classifiers including Multinomial Naive Bayes, Logistic Regression, and SVMs were trained, evaluated, and optimized for better accuracy and reduced overfitting.
Have a project in mind? I'd love to hear about it. Let's discuss how we can bring your ideas to life.
Kathmandu, Nepal