Jonathan Gong

Jonathan Gong

Information systems student at Carnegie Mellon.

Hi there, thanks for checking out my website.

A little bit about me. I take my roots from Southern California where I was born and raised.

Currently, I’m a student at Carnegie Mellon studying Information Systems. I enjoy building and bringing ideas to life through software development, go to market strategies, and product management.

Feel free to explore my page and reach out for any inquiries!

996 Ventures — Co-Founder and CTO

Built the venture studio’s full-stack site in React, TypeScript, and TanStack Start with server-side rendering on Cloudflare Workers, including a serverless submission pipeline using TanStack server functions, Zod validation, and the Google Sheets API. Designed the motion-driven UI (Motion, Radix, Tailwind) around a custom intro loader and a geometric component system.

Corgi — AI Engineer

Developed an internal MCP server that opened company-wide tool integrations to every team, plus a React Native iOS app for Corgi Cafe with Square order integration. Also built an internal chatbot that handles employee support across the existing integrations.

ScottyLabs — Head of Go-To-Market

Synthesized user research into product design iterations across software projects, and kept cross-functional teams of engineers, designers, and marketers aligned on shared OKRs each sprint. Led project launches and the marketing funnels that drove signups.

Scurry — AI Consultant

Developed internal tooling that streamlined client onboarding and cut turnaround time, and worked directly with clients to translate business goals into automated AI systems, including workflow automations inside their HubSpot CRMs.

Dojo’s build guide: a 3D render of a small white-and-brown LEGO model with two newly placed white slopes outlined in yellow, beside a live glasses feed of a box of loose LEGO pieces marked with detection boxes, above an In your view list that reports the two white slopes are not in view.

Dojo

Camera-guided build assistant that sees a pile of LEGO, circuit parts, or fabric through Ray-Ban Meta glasses, shows what it can become, and checks each step of a guide that adapts to missing parts.

An Aria karaoke battle: two players’ camera tiles side by side, each singing from a bedroom, with the lyric line “Roman cavalry choirs are singing” across the bottom.

Aria

Camera-on multiplayer karaoke site where players sing the same chorus in head-to-head battles scored on pitch and tone, with duet, solo training, and open lounge modes.

Repository

ManuAI’s operator console: a live Ray-Ban camera feed of a room with a white door, a wall-mounted panel, a window, and an open drum, a person in the foreground seen from behind, beside a running transcription in which the assistant answers a jammed-labeler question with a cited SOP, above a context-pool graph of retrieved chunks.

ManuAI

Offline multimodal voice assistant that answers factory operators’ spoken questions from a local RAG pipeline over SOPs, OEMs, and chat logs, and won 1st place at the Y Combinator × Moss Conversational AI Hackathon.

PatientScope AI’s ward overview: bed utilisation reading 93 of 100, a colour-coded NEWS score distribution grid, and a critical-alerts list of lab changes for monitored ICU patients.

PatientScope AI

Clinical decision-support platform for ICU discharges built on the MIMIC-IV dataset, with a Random Forest model predicting patient risk scores from demographic, vital, and lab features.

Repository

Chalk’s tutor screen: a question typed into the ask bar, the Nico tutor avatar reading its answer aloud on the left, and a whiteboard the tutor has drawn titled Risk Retention Group with building and shield illustrations.

Chalk

Interactive AI voice tutor that draws synced whiteboard animations from personalized uploads, grounding its answers in the course material through a RAG pipeline.