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General Information
Full Name | Jeevan Chapagain |
Languages | English, Nepali, Hindi |
Education
- AUG 2019 - MAY 2025
PhD Computer Science
University of Memphis, Memphis, TN, USA
- Research Interests
- Natural Language Processing (NLP)
- Artificial Intelligence (AI)
- Machine Learning
- Intelligent Tutoring System (ITS)
- Data Science
- Research Interests
- AUG 2019 - DEC 2023
MS Computer Science
University of Memphis, Memphis, TN, USA
- OCT 2013 - OCT 2017
Bachelor of Science in Computer Science and Information Technology
Tribhuvan University, Institute of Science and Technology
- Relevant Courses
- Artificial Intelligence
- Information Retreival
- Data Mining
- Relevant Courses
Experience
- AUG 2019 - Current
Graduate Data Science and NLP Research Assistant
Institute of Intelligent Systems, University of Memphis
- Fine-tuned Meta Llama3 8B model using LoRA for automated assessment of student code comprehension responses, achieving a 30% improvement in assessment accuracy compared to the base model.
- Created a system using LLMs such as GPT-4 and GPT-4 Turbo to automatically generate high-quality explanations for JAVA code, improving student learning outcomes and reducing instructor workload.
- Fine-tuned transformer-based models for answer assessment of student response in program comprehension, significantly enhancing accuracy and reliability of assessments in computer science education
- Curated and published SelfCode and SelfCode 2.0, a novel dataset of sentence pairs mapping student explanations to expert standards, enabling a 25% improvement in AI model accuracy for automated assessment.
- Designed and deployed a machine learning-based web service to evaluate students’ responses in code comprehension, resulting in a 35% increase in student learning based on the feedback provided.
- OCT 2017- MAY 2019
Software Engineer
Kulchan Pvt. Ltd., Kathmandu, Nepal
- Delivered 10+ web applications and software solutions on schedule, achieving a client satisfaction rate exceeding 95%
- Implemented RESTful APIs using SpringBoot, successfully integrating with 3 mobile applications
- Demonstrated strong communication skills through regular reporting of project results ensuring transparent progress updates to clients
Skills
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Technical Skills
- Programming & Scripting: Python, R, SQL, Java
- Machine Learning and AI: PyTorch, TensorFlow, Scikit-learn, HuggingFace, LLMs, CNN, LSTM, BERT, NLP, Deep Learning, Random Forests, SVM, Decision Tree, Logistic Regression, XGBoost, Ensemble Methods, Predictive Modeling, Segmentation, Clustering, Forecasting, Statistical Modeling
- Data Science & Analytics: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly, WEKA, Statistical Analysis, Data Visualization, Feature Engineering, Hypothesis Testing, A/B Testing, Time Series Analysis, Regression Analysis, PCA, Predictive Analytics, Data Preprocessing, Exploratory Data Analysis (EDA)
- Big Data & Databases: MySQL, PostgreSQL, MongoDB, NoSQL, Data Modeling, ETL processes, Data Mining
- Cloud & DevOps: Git, GitHub, GitLab, Docker, RESTful APIs, Linux/Unix, Windows, MacOS, Apache
- Business Intelligence: Excel, PowerBI, Tableau, KPI Analysis, Data Wrangling, Web Scraping, Airflow, AirTable, Dashboard Design, Google Analytics