About Me
I’m Bipasna Dulal, a final-year Computer Science undergraduate based in Kathmandu, Nepal. I’m currently exploring artificial intelligence through academic and personal projects, with a focus on building practical and understandable systems.
My experience includes developing deep learning models for image classification, experimenting with machine learning techniques, and creating full-stack applications where AI supports real functionality. Alongside this, my UI/UX design internship has strengthened my understanding of usability, clarity, and user-centered design.
AI & Deep Learning
Hands-on projects using CNNs and classical ML models
Full-Stack Projects
Built AI-supported web applications using modern frameworks
UI/UX Design
Designing clean, user-focused interfaces for real systems
Academic Work
Final-year and personal projects combining AI and software
Education
BSc Computer Science and Information Technology
2021 - PresentTribhuvan University (NCCS)
Kathmandu, Nepal
Skills
Technologies and tools I’ve worked with through projects and coursework
AI/ML
Programming
Web & Backend
Databases
Tools
Projects
A selection of academic and personal projects I’ve worked on
AI
Bird Feather Color Classification System
Built a convolutional neural network to classify bird feather images into 12 color categories. The project involved dataset preparation, image augmentation, model training, and evaluation. A simple web interface was added to allow users to test the model with custom images.
Details: 12 classes • ~2,400 images
AI
Janta Ko Aawaj – C2G2C E-Governance Complaint System (Final Year Project)
Developing a full-stack e-governance platform where citizens can post complaints as polls and vote to validate issues. Machine learning models are used to filter spam complaints, and threshold-based alerts notify authorities as engagement increases.
Details: ML-based spam filtering • Threshold alerts (25%, 50%, 75%) • Civic engagement
AI
Smart Calculator – Handwritten Expression Recognition
Developed an AI-powered calculator capable of recognizing handwritten mathematical expressions using computer vision techniques. The system includes a React-based canvas interface and a FastAPI backend for real-time processing and evaluation.
Details: Handwritten input • Real-time processing • Multiple operations
Experience
UI/UX Design Intern | Figma
Fusemachines
Kathmandu, Nepal
Worked on designing and optimizing user interfaces for AI-powered HR systems, focusing on workflow efficiency and user experience.
- Designed key workflows for job management, candidate pipeline, user roles, and activity tracking.
- Created low & high-fidelity wireframes, mood boards, user flows, and reusable component systems.
- Enhanced usability of candidate movement, interview stages, and error handling.
- Collaborated with developers, QA, and mentors to deliver practical, implementation-ready designs.
Get In Touch
Contact Information
Location
Kathmandu, Nepal
Open to AI/ML opportunities, research collaborations, and innovative projects.