Kanta Saito
Kanta Saito

Kanta Saito

Student at UH Manoa

I am studying for a B.S. in Computer Science in the Department of Information and Computer Sciences at the University of Hawaii. I expect to graduate in Spring, 2027.

INTERESTS: Artificial Intelligence · Machine Learning · Researching · Robotics · Computer Vision

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CERTIFICATIONS:

  • • Machine Learning Specialization Certificate — DeepLearning.AI — May 2025
  • • 5-Day Gen AI Intensive with Google — Kaggle — April 2025
  • • Google AI Essentials — Google — February 2024

TECHNICAL SKILLS: Python, Java, C/C++, Windows/UNIX, SQL, NumPy, OpenCV, Pandas, Scikit-learn, TensorFlow

LANGUAGE SKILLS: Fluency in English and Japanese

Projects

Always-On AI Discord Bot
Always-On AI Discord Bot 2026-03-22

Built and deployed a persistent AI chatbot on Discord powered by Anthropic's Claude, running 24/7 on a Google Cloud VM.

Claude AI Discord API Google Cloud Platform MCP Protocol

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Gamers Connect
Gamers Connect 2025-08-05

A full-stack web app that helps UH students find and connect with local gamers through matchmaking, sessions, and events.

Next.js TypeScript PostgreSQL Prisma Vercel

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Linear Regression From Scratch
Linear Regression From Scratch 2025-03-01

A Python implementation of linear regression without using scikit-learn's built-in regression models. This project demonstrates the fundamental concepts of linear regression through a stock price prediction model for Apple Inc. (AAPL).

Linear Regression Python PCA

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Neural Network From Scratch
Neural Network From Scratch 2025-03-01

Implementation of a basic feedforward neural network from scratch using Python and the NumPy library.

Python NumPy MNIST Dataset Matplotlib

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Research Talk

MammoClean Research Showcase

CHANGE-HI Funded Research · 5-Minute Research Showcase

A 5-minute research showcase presentation on MammoClean, a project funded by CHANGE-HI (Center for Health Analytics, Notification, Guidance, and Education for Hawaii and the Pacific Islands).

School Projects

ICS 483 · Final Paper

Research paper on MammoClean, a preprocessing pipeline for mammography images that applies denoising and artifact removal to improve the accuracy of downstream machine learning models.

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ECE 405

Exploring tokenization techniques and transformer architectures, covering subword tokenization methods, self-attention mechanisms, and the foundations of modern large language models.

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Publications / Research

Coming soon — publications and research papers will be posted here.