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Peter Pao-Huang

Entrepreneur & Full Stack Engineer

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About Me

Hi, I'm Peter. I'm currently studying CS @ UIUC and looking to start the next big thing. I previously founded Epius.ai, an AI startup that automates the machine learning process, and Link, a location-based social media app that prompts users to join ongoing events with their friends.

While your here, check out some of my work, reach out about starting a company, or just say hi (I'm always happy to meet new people)!

Latest Work


Epius Logo

Epius.ai - Machine learning accessible to everyone

Automates the complexities of the machine learning process into one simple, unified platform that enables small businesses to integrate powerful machine learning functionality to optimize their business activities.

Check out the demo or iOS app

Facebook Scraper

Facebook Scraper - Find the demographics of your college class

Python library for scraping your college/university's Facebook group to find and understand the demographic of people in your major (e.g. major, location, etc)

TAPIR Logo

TAPIR - Thermomechanical Advanced Polymer Informatics & Resource

Framework for Integrating Classical and Quantum Mechanical Simulation Data, Experimental Data, and Cheminformatics into a Unified Predictive Engine for Macromolecular Design

Link Logo

Link - Inspire real life

Location-based social media network that allows you to meet with your friends and post your activities to a real-time map interface.

More on GitHub

Work Experience

Co-Founder - Epius.ai (2018 - Present)

  • Created initial platform that automated the complexities of ML for small businesses to utilize it in daily business operations, obtaining a combined 8000+ users globally
  • Responsible for server (LAMP stack) and client side development
  • Managed technology, sales, and marketing roles

Lead iOS Engineer - Maxwell Financial Firm (2019 - Present)

  • Led development of Maxwell Financial’s iOS mobile application and backend infrastructure using Scrum framework
  • Established product roadmap for iOS app with unified development/design approach
  • Participated in weekly meetings with executives and investors to communicate progress

Research Assistant - University of Chicago (2018 - 2019)

  • Developed object-oriented framework for integrating quantum mechanical simulation data, experimental data, and cheminformatics into predictive engine for macromolecular design
  • Utilized Python ML/DS libraries including Scikit-learn, Keras, Pandas, Matplotlib, and TPOT

Intern - Wind Point Partners (2018 - 2019)

  • Worked in analyst team to find effective implementations of artificial intelligence to optimize production processes in portfolio companies

Connect on LinkedIn

My GitHub