Laxman Paudel
@laxmanpaudel
AI/ML-focused Computer Science student building and deploying practical machine learning solutions.
What I'm looking for
I am an AI/ML-focused Computer Science student with hands-on experience building, evaluating, and deploying machine learning models using Python and standard libraries.
I have completed end-to-end projects—classification and regression—where I performed EDA, feature engineering, model training and tuning, and deployed interactive Streamlit applications achieving strong predictive performance.
I am passionate about applied machine learning, translating data-driven insights into usable tools, and I am seeking an AI/ML internship to apply my problem-solving skills in a production environment.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
Personal Projects
Built and deployed ML classification and regression models as interactive Streamlit applications, achieving ~85% accuracy on body-fat classification and reduced error on concrete strength regression; handled EDA, feature engineering, and model tuning for production-ready demos.
Education
Degrees, certifications, and relevant coursework
Patan Multiple Campus, Tribhuvan University
Bachelor of Science, Computer Science and Information Technology
Grade: 3.0 / 4
Bachelor of Science in Computer Science and Information Technology (BSc. CSIT) with an average GPA of 3.0/4, expected graduation in November 2026.
National Institute of Science and Technology (NIST)
Higher Secondary Education, Science
2020 - 2022
Grade: 3.14 / 4
Completed Higher Secondary (Science stream) with a GPA of 3.14/4 during April 2020 to July 2022.
Padma Chakra School
Secondary Education Certificate, Secondary Education
2009 - 2019
Grade: 3.95 / 4
Completed Secondary Education Examination with a GPA of 3.95/4 from April 2009 to March 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
bodyfatclassification.streamlit.appJob categories
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