Kai Maurin-Jones
Director, Applied AI
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About
Kai Maurin-Jones works in AI engineering and ML & data science, based in Toronto, Canada. Director, Applied AI. Public projects on GitHub include Ontograph (LLM-powered knowledge graph engine with ontological entity resolution, orbit-based proximity scoring, and…), JoyfulBytes (Joyful Bytes transforms uplifting news stories into AI-generated artwork, delivering daily doses of…) and Doc Talk (Chat with your documents. RAG implementation leveraging OpenAI's GPT-4o and Text-Embedding-3-Small models), mostly written in Python, Jupyter and JavaScript.
Projects 6
- github.com
Ontograph
LLM-powered knowledge graph engine with ontological entity resolution, orbit-based proximity scoring, and hybrid semantic-graph retrieval.
- github.com
JoyfulBytes
Joyful Bytes transforms uplifting news stories into AI-generated artwork, delivering daily doses of positivity.
- github.com
Doc Talk
Chat with your documents. RAG implementation leveraging OpenAI's GPT-4o and Text-Embedding-3-Small models.
- github.com
DailyNewsDriftCanada
DailyNewsDriftCanada is a tool designed to analyze the sentiment of news headlines from various Canadian media outlets over time.
- github.com
Llm Randomness Analysis
Comprehensive analysis of random number generation capabilities in Large Language Models (GPT-4, etc.) vs. traditional PRNGs. Includes statistical evaluation, visualizations, and benchmarking.
- github.com
Housing-Law-Insight
Web application designed to showcase the potential of Data Science and Natural Language Processing (NLP) in the legal domain.