Last Updated: Mar 26, 2025
About
Lead AI/ML Engineer applying machine learning to web3.
My aim is to combine the power of technology with the beauty of art to create products that are both technically impressive and aesthetically pleasing.
I am also a trained artist working in traditional mediums of printmaking, photography, game development,and animation.
| GitHub | Google Scholar | Art Station | |
|---|---|---|---|
| @wu-hongjun | @wu-hongjun | Hongjun Wu | @wuhongjun |
Education
Cornell University - Cornell Tech
MSci - Information Systems
MSci - Applied Information Science
University of Washington - Seattle
BArt - Interdisciplinary Visual Art
Professional Experience
Stealth AI + Web3 Startup (2024 - Present)
Lead Machine Learning Engineer
- Revolutionizing the way humans trade Solana and Hyperliquid on Telegram.
- Employee #1, leading the AI/ML team, primary focus in real time market data acquisition and analysis.
Brownie AI (2023 - 2024)
Co-Founder, Chief Technology Officer
- Led UX, frontend development, marketing, and project management in ApplyTailor.
- ApplyTailor made it to Y Combinator’s W24 Batch Final interview!
- Pivoted due to projected revenue could not cover the running costs with an affordable business model.
- It was the early days of the LLM boom and running language models was expensive!
Trunk Tools (2023)
Machine Learning Software Engineer
- Early days of Trunk Text, a LLM-powered construction knowledgebase.
Lerer Hippeau (2023)
Artificial Intelligence Engineer
- Built a LLM based internal tool for company website data ingestion and analysis.
Dreamhaven - Moonshot Games (2022)
Technical Artist (Intern)
- Worked on Wildgate, an AAA epic PvP spaceship battles at the edge of the universe.
- Developed scripts, tools, and shaders for Unreal Engine 5 and Maya.
TrackAir (2022)
Co-Founder, Chief Product Officer
- Co-Founded TrackAir, a joint initiative between US and Israel.
- Improving pregnancy outcomes through smart air quality monitoring in developing countries.
- Finalist of 2022 Cornell Tech Startup Award.
Locomotion Devs (2020 - 2022)
Co-Founder, Game Artist
- Developed SuperFly VR, an open-world superhero action sandbox game.
- Rated “Very Positive” on Steam, 500+ reviews, 70K+ units sold.
- Rated 4.6 Stars on Oculus, 800+ ratings, 500+ reviews.
- Rated 4.3 Stars on Viveport, also released on Itch.io.
- 15M+ total views of user uploaded gameplays on Youtube.
FIRST Robotics Competition Team 4415 (2014 - 2017)
Founding Member, Team Captain, CNC Lead
- Founding member of Team 4415, team captain of 2017 season.
- First head of the CNC department, lead the transition to computerized manufactoring.
Articles
Awards
| Award | Details | Prize | Year |
|---|---|---|---|
| Cornell Tech Startup Award | Finalist | - | 2022 |
| Zumtobel Group Awards | Special Prize for Innovation | €20,000 | 2021 |
| Jacobs Technion-Cornell Institute | Connective Media Merit Scholarship Award | $30,000 | 2021 |
| University of Washington | Dean’s List | - | 2018 - 2020 |
| FIRST Robotics Competition | Team Spirit Award - Central Valley Reginal | - | 2017 |
Academic Positions
| Institution | Role | Course | Name | Term |
|---|---|---|---|---|
| Cornell University | Grading Assistant | INFO 5305 | User Experience & User Research | Spring 2023 |
| Cornell University | Grading Assistant | CS 5787 | Applied Machine Learning | Autumn 2022 |
| Cornell University | Course Assistant | CS 6785 | Deep Generative Models | Spring 2022 |
| University of Washington | Teaching Assistant | CSE 416 | Introduction to Machine Learning | Spring 2019 Spring 2020 Summer 2020 |
Open Courses
| Institution | Role | Instructor | Course | Name | Year |
|---|---|---|---|---|---|
| Cornell Tech | Producer | Volodymyr Kuleshov | CS 6785 | Deep Generative Models | 2022 |
| Cornell Tech | Producer | Volodymyr Kuleshov | CS 5787 | Applied Machine Learning | 2023 |
Open Source Projects
- One line solution for building automatic high efficiency image pipelines.
- User friendly interface Heiya GUI for non-coders to interact with the Heiya library.
- Automatic Maya Python toolkit development pipeline.
References
Available upon request via this contact form.