—— Selected Outcomes
—— Selected Work
Quest-On
AI assessment SaaS deployed in live university exams
- Role
- Co-Founder & Lead Product Engineer
- Impact
- < 1 mo — Core E2E flow shippedIndividual ownership
3D Printer Management System
Campus operations system used by ~400 students per semester
- Role
- Full-stack builder (solo)
- Impact
- ~400 — Students per semesterProduct outcome
GTEC Board
AI-assisted project management platform for campus and product teams
- Role
- Built end-to-end (full-stack + AI integration)
- Impact
- Live — Deployed multi-tenant beta with AI agentIndividual ownership
PRD Maker
Open-source workflow tool for AI coding agents
- Role
- Author & maintainer
- Impact
- 6 — GitHub stars (snapshot)Product outcome
—— Experience
- —Translated university assessment workflows into product requirements and implemented the core E2E flow of an AI assessment SaaS within one month to begin initial validation. Then hardened the product to a level ready for live university exams within about three months.
- —Designed and implemented the full-stack system across exam authoring, submissions, role-based access, AI-assisted rubric evaluation, and result review using Next.js, PostgreSQL/Supabase, Clerk, and an OpenAI-powered evaluation layer.
- —Partnered with the business-development co-founder and instructors to convert field requirements into product features and operated the service in live university exam environments.
- —Reduced grading work from approximately 10 hours to about 2 hours through automated rubric-based evaluation and structured feedback.
—— How I Work
Scope the problem
Turn ambiguous operational pain points into a concrete product scope, user flow, and measurable outcome.
Build end-to-end
Design and implement the frontend, backend, data model, permissions, AI workflow, and deployment path.
Deploy and iterate
Operate software in real usage environments, collect feedback, and convert repeated needs into reusable product capabilities.
Use Cursor, Claude Code, and Codex to accelerate implementation and review while retaining explicit test, diff-review, and acceptance criteria.
—— Open Source & Additional Work
—— Lab / In Progress
—— Education
Interdisciplinary coursework across product design, digital fabrication, embedded systems, and software prototyping.
—— Awards & Selections
—— Technical Skills
Core Engineering
Product & Frontend
Backend & Data
Applied AI
AI Coding Tools
Infrastructure
Embedded / Edge
Have an operational problem that needs to become a working product?
I’m interested in AI Product Engineering, Product Engineering, FDE, and AX opportunities.