PROJECT / 01
Nepali Cultural Dress Recognition
A computer vision project for recognizing Nepali cultural ornaments and dress categories, using a ResNet50 classifier and an API-oriented deployment workflow.
View repository ↗ Building and shipping AI systems
AI / MACHINE LEARNING ENGINEER
Turning data into
useful intelligence.
I'm Aayush Oli. I’m a CSIT undergraduate at Amrit Campus focused on applied machine learning, computer vision, and backend engineering. I build end-to-end systems—from data preparation and model evaluation to API development, Docker, and AWS deployment.
SELECTED WORK
Projects with a purpose.
A selection of machine learning and software projects. Open each repository for source code, implementation details, and available documentation.
4 projects
PROJECT / 02
Plant Disease Detection API
A leaf-image classification service built with a ResNet18 model and FastAPI, with health checks and interactive API documentation.
View repository ↗PROJECT / 03
AgentGuard
An AI-focused software project. Explore the repository for the current implementation, features, and technical decisions.
View repository ↗PROJECT / 04
AI / ML Portfolio & Experiments
A growing collection of machine learning practice, experiments, and implementation work across the AI/ML development lifecycle.
View repository ↗A LITTLE ABOUT ME
Curious by nature.
Practical by design.
I'm an aspiring AI/ML Engineer focused on building a strong foundation in machine learning, deep learning, computer vision, and production-minded software development.
I enjoy understanding how systems work end to end: preparing data, training and evaluating models, creating APIs, containerizing applications, and deploying services to the cloud. I value clear documentation, reproducible work, testing, and continuous learning.
↗ Building projects that solve understandable problems
↗ Learning model evaluation beyond accuracy alone
↗ Turning prototypes into documented, testable APIs
EDUCATION & ENGINEERING
Strong foundations. Real implementation.
My background combines formal computer science study with hands-on experience building and deploying complete ML applications.
B.Sc. Computer Science & Information Technology
Amrit Campus · Tribhuvan University, Kathmandu
Currently pursuing my undergraduate degree. Relevant coursework includes Artificial Intelligence, Data Structures & Algorithms, Operating Systems, Database Management Systems, Advanced Programming, and Statistics.
From dataset to evaluated model
Hands-on work with PyTorch, CNN image classification, transfer learning, ResNet50 fine-tuning, image preprocessing, class-imbalance considerations, and evaluation using accuracy and F1 scores.
Deployable AI applications
Building REST APIs with FastAPI, documenting endpoints with OpenAPI/Swagger, packaging applications with Docker, loading models from Amazon S3, deploying services on AWS EC2, and using GitHub Actions for CI/CD workflows.
24classes in cultural-dress model
82.29%reported test accuracy · V3 model
70.90%reported macro F1 · V3 model
TOOLS & TECHNOLOGIES
My working toolkit.
Technologies I use across learning projects and application development. Specific tools vary by project.
Languages
Python · SQL · JavaScript basics
Machine Learning
PyTorch · scikit-learn · CNNs · Transfer Learning
Computer Vision
Image classification · Data preparation · Model evaluation
Backend & APIs
FastAPI · REST APIs · OpenAPI / Swagger
Deployment
Docker · Docker Compose · AWS · Render
Developer Tools
Git · GitHub · VS Code · Linux
Engineering Practice
pytest · CI workflows · Documentation
Currently Exploring
LLM applications · RAG · Agentic workflows
LET'S CONNECT
Have a project or opportunity?
I'm interested in AI/ML projects, learning opportunities, and internship conversations. Feel free to reach out or explore my work on GitHub.