Daniel Tian
Member Of Technical Staff at Cartesia
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Tian is a versatile software engineer with 11 years of experience, currently building state-space models (SSMs) at Cartesia AI in San Francisco. He moves fluidly between game engines, web stacks, and embedded systems—having built a high-performance Lua JIT engine and a web-friendly Godot fork for Arbor Interactive, shipped full-stack products with Next.js/Postgres, and deployed YOLOv5 on NVIDIA Jetson for safety-critical hardware. His background spans research-grade ML work on spatial reasoning for LLMs at the University of Michigan to production-focused telemetry and recommendation infrastructure at TikTok, reflecting both academic rigor and operational instincts. Daniel leads multidisciplinary teams (audio, design, engineering) and has experience creating tooling and CI/CD workflows to keep projects shipping. He combines a creative game-dev sensibility with strong systems and ML engineering chops, and maintains a public portfolio showcasing technical demos and projects. Based in the Bay Area, he leverages cross-domain experience to deliver performant, playable, and production-ready systems.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of MichiganHigh School Diploma, 3.97 GPA, High School Diploma, 3.97 GPA at Northville High School
Github Skills (4)
perlin-noise1
noise1
rust1
procedural1
Programming languages (1)
Github contributions (5)
MazeGameStudios/COMP7051_Assignment2
Oct 2017 - Nov 2017
Contributions:14 PRs, 28 pushes, 3 branches in 1 month
DanielTianDev/TheFarmiParadox
Oct 2018 - Dec 2018
Contributions:19 pushes in 2 months
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