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Hi, I’m Kai Lo, a data scientist and AI specialist with extensive experience building and deploying machine learning and AI models. I thrive on turning complex data into actionable insights and robust systems, from NLP to predictive analytics and recommender systems. I enjoy collaborating across disciplines, deploying end-to-end ML workflows on AWS and Git, and mentoring others to grow their skills. In my spare time I explore new AI techniques, contribute to open source, and keep a curious eye on how data can transform products and sports analytics.…Hi, I’m Kai Lo, a data scientist and AI specialist with extensive experience building and deploying machine learning and AI models. I thrive on turning complex data into actionable insights and robust systems, from NLP to predictive analytics and recommender systems. I enjoy collaborating across disciplines, deploying end-to-end ML workflows on AWS and Git, and mentoring others to grow their skills. In my spare time I explore new AI techniques, contribute to open source, and keep a curious eye on how data can transform products and sports analytics.

Kai Lo

Data Scientist, AI Engineer, Full Stack Developer, +2

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Hi, I’m Kai Lo, a data scientist and AI specialist with extensive experience building and deploying machine learning and AI models. I thrive on turning complex data into actionable insights and robust systems, from NLP to predictive analytics and recommender systems. I enjoy collaborating across disciplines, deploying end-to-end ML workflows on AWS and Git, and mentoring others to grow their skills. In my spare time I explore new AI techniques, contribute to open source, and keep a curious eye on how data can transform products and sports analytics.…Hi, I’m Kai Lo, a data scientist and AI specialist with extensive experience building and deploying machine learning and AI models. I thrive on turning complex data into actionable insights and robust systems, from NLP to predictive analytics and recommender systems. I enjoy collaborating across disciplines, deploying end-to-end ML workflows on AWS and Git, and mentoring others to grow their skills. In my spare time I explore new AI techniques, contribute to open source, and keep a curious eye on how data can transform products and sports analytics.

Available to hire

Hi, I’m Kai Lo, a data scientist and AI specialist with extensive experience building and deploying machine learning and AI models. I thrive on turning complex data into actionable insights and robust systems, from NLP to predictive analytics and recommender systems.

I enjoy collaborating across disciplines, deploying end-to-end ML workflows on AWS and Git, and mentoring others to grow their skills. In my spare time I explore new AI techniques, contribute to open source, and keep a curious eye on how data can transform products and sports analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

LLM Prompt Engineer at Freelance

September 1, 2025 - Present

Trained and evaluated LLM outputs by crafting high-performance prompts and criteria. Designed and improved AI/ML projects and solved complex mathematical problems to train LLMs.

Data Scientist at Prospect Sport AI

July 1, 2023 - April 30, 2025

Co-developed a proprietary index to gauge interest in 1500+ sports-related entities across 10+ markets, involving large-scale web scraping, API integration, and optimization of a custom search algorithm. Built and trained stacked regression models (linear, logistic, XGBoost) achieving 90%+ accuracy to forecast subscriber counts, viewership, and event attendance for major clients including Entain and Formula 1. Developed a motorsport racing simulator and race predictive models, and advised on an NBA Elo rating system. Collaborated with Data Engineers to deploy ML workflows on AWS and Git; maintained a CI/CD pipeline for model deployment. Conducted daily data processing and feature engineering using AWS, SQL, Databricks, and PySpark; experience with Kedro, Scikit-learn, Statsmodels, and LLMs. Created scalable web scrapers using Selenium, Requests, and automation tools; deployed on AWS EC2 and Lambda.

Tutor at Independent Tutor / Remote

November 1, 2019 - Present

Taught college-level English, Mathematics, Calculus, Statistics, and Computer Science to students; provided subject-specific coaching and problem-solving strategies.

Data Analyst at Advanced Research Centre, Anaheim

March 1, 2019 - September 1, 2019

Managed a QuickBase database of 2,000+ products; built a Python web scraper for 22 brands; developed a user-friendly interface; led a team on developing a product recommendation app based on 250 ingredients.