New York University
Interactive Media Arts (STEM)
Resume
Education
Work Experience
Vision On
AI Image Research Intern
- Built production benchmarks to evaluate 20+ AI image models for commercial retouching, testing model strengths and failure modes across 10 production scenarios with senior retouchers.
- Built a model-selection taxonomy mapping production tasks to model capabilities and failure modes; adopted into the studio’s AI retouching pipeline.
- Shipped 100+ client-facing AI assets and 10+ advertising videos, turning model experiments into repeatable production workflows.
Ali Lin Lab LLC
Founder · Design Engineer
- Built ACUBOT with Expo and React Native, creating a bilingual learning system covering 136 acupuncture points and 4,000+ clinical cases; designed the search, content architecture, and interaction system. Currently in closed beta.
- Rebuilt a Texas acupuncture clinic’s website from WordPress to a static Vercel deployment, redesigning the information architecture around five patient-centered service pathways.
HFunds
AI Creative Engineer Intern
- Built an end-to-end AI content pipeline with OpenAI and Hugging Face APIs, cutting per-asset turnaround by roughly 30 percent across the creative team.
- Bridged ML capabilities and product design, translating model behavior into production-ready creative workflows under tight launch timelines.
Projects
Latentfilm ↗
- Built a real-time film physics engine in WebGL and GLSL, modeling halation, grain structure, and film response for AI-generated video entirely in the browser GPU.
- Calibrated film profiles against original CineStill 800T and Portra 400 scans, using measured film behavior rather than published LUTs.
Teardown ↗
- Built an interactive tool to instrument diffusion inference end-to-end, exposing latency, convergence, sampling behavior, and queue dynamics hidden behind hosted APIs.
- Measured 47 inference calls and isolated the dominant source of latency variance: queue time (277 ms std) versus inference (9.9 ms std), with raw measurements shipped alongside the report.
Skeletal Silk ↗
- Built a vision-to-shader pipeline that extracts material parameters from fabric images with Claude Vision and drives a real-time GLSL material simulation.
- Added validation, rate limiting, error handling, and shader export to make the prototype production-ready.
Technical Skills
- AI
- Claude Code, Cursor, Anthropic API, OpenAI, Hugging Face, fal.ai, Replicate, diffusion evaluation, VLM pipelines
- Languages
- TypeScript, JavaScript, Python, GLSL, Solidity
- Graphics
- WebGL2, GLSL, Three.js, React Three Fiber, shader authoring, color science, WebCodecs
- Frontend
- React, Next.js, semantic HTML, modern CSS, Tailwind, Expo, React Native
- Tools
- Git, Weavy, Figma, Photoshop, Lightroom, Capture One
- Photography
- Medium-format film & digital. Four years of editorial work across three NYU publications; 100+ commissioned shoots.
About Me
Ali Lin
I build creative tools across visual computing, generative AI, and real-time graphics.
My work connects visual judgment with technical systems: film physics in the browser, material simulation from photographs, and tools for measuring generative models.
Currently, I research AI image systems for commercial production at Vision On and build independent tools through Ali Lin Lab.
Photography is part of my practice, spanning medium-format film, digital images, and four years of editorial work across three NYU publications.
Contact
- Phone
- 617-818-6562 ↗
- Website
- alilinlab.com ↗
- Ali Lin ↗
- GitHub
- AliLin200446 ↗