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 ↗ Interested in Junior AI/ML Engineer roles & internships
ASPIRING JUNIOR AI / MACHINE LEARNING ENGINEER
I’m Aayush Oli.
Building 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’m looking for opportunities to grow as a Junior AI/ML Engineer, contribute to a team, and keep learning. 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
Sports Intelligence NLP
An NLP application that analyzes sports news using transformer sentiment analysis and named-entity recognition, with RSS ingestion, trend summaries, a FastAPI service, and a web dashboard.
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PROJECT / 04
Chess Vision AI
A computer vision system that reads chessboard images, classifies board squares, generates a FEN position, and validates the result with chess rules through a FastAPI endpoint.
View repository ↗A LITTLE ABOUT ME
Curious by nature.
Practical by design.
I’m an aspiring Junior AI/ML Engineer focused on building a strong foundation in machine learning, deep learning, computer vision, and production-minded software development. I’m especially interested in entry-level roles and internships where I can contribute, learn from experienced engineers, and grow through real projects.
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 Junior AI/ML Engineer opportunities, internships, and collaborative projects where I can contribute my current skills, learn from a team, and continue developing as an engineer. If my projects are relevant to your team, I’d be glad to connect.