cv
Basics
| Name | Nisan Chhetri |
| Label | PhD Candidate |
| nchhetr DOT ncsu DOT edu | |
| Url | https://nisanchhetri.github.io/ |
| Summary | A 4th-year PhD candidate in computer science at NC State University with diverse expertise in machine learning and creativity! |
Work
-
2023.05 - 2023.08 AI/ML Intern
US Department of Agriculture
Applied machine learning techniques in microbiome dataset to identify growth enhancing fungi in swine.
- Machine learning
- Microbiome
- Pattern identification
- Swine growth
-
2021.08 - Present Graduate Teaching Assistant
North Carolina State University
Assist students with homework assignments, projects, and exams. Conduct office hours. Prepare learning materials. Provide feedback on slides, presentation skills, and reports.
- Discrete Mathematics
- C and Software Tools
- Artificial Intelligence (AI)
- Technical Communication
-
2021.08 - Present Graduate Research Assistant
North Carolina State University
Researching on estimating creativity using psychological properties in image domain.
- Creativity
- Psychology
- Image understanding
Education
-
2021.08 - 2023.12 Raleigh, North Carolina
Master's in Computer Science
North Carolina State University
Machine learning and Creativity
- Machine Learning
-
2021.08 - 2026.05 Raleigh, North Carolina
PhD in Computer Science
North Carolina State University
Machine learning and Creativity
- Data Structures and Algorithms
- Artificial Intelligence
- Data Mining
- Neural Networks
- Efficient Deep Learning
- Software Engineering
- Accelerated Deep Learning
- Advanced Machine Learning
Awards
- 2017
Certificates
| Machine Learning | ||
| Coursera | 2021-03 |
| Python for Everybody | ||
| Coursera | 2020-08 |
| Fundamental of Reinforcement Learning | ||
| Coursera | 2020-05 |
Publications
-
2024.10 -
2024.10 The Role of the Mycobiome in Growth of the Pre-wean Pig, Sus scrofa [Status: submitted]
Journal of Animal Science
Skills
| Language and Tools | |
| Python, C/C++, Bash, Git, Linux, AWS, MySQL, Jupyter, Gradio, MLflow |
| Machine Learning | |
| Supervised & Unsupervised Learning, Optimization, GANs, Transformers, LLMs, Diffusion models, Creative AI, Computer Vision, EDA |
| Frameworks/Libraries | |
| PyTorch, TensorFlow, Keras, Sklearn, Pandas, NumPy, Matplotlib, Plotly, OpenCV |
Languages
| Nepali | |
| Native speaker |
| English | |
| Fluent |
Interests
| Activities | |
| Hiking, Swimming, Photography, Singing, Playing guitar |
| Games | |
| Chess, Cricket, Table tennis, Board games |
Projects
- 2024.05 - Present
Image Generation via Prompt-Based Guidance
Developing a user-driven T2I framework using prompt engineering; discovered major limitations in diffusion-based models for complex object generation.
- text-to-image
- prompt engineering