# Li Zhang

> Generative AI =​> Agentic AI =​> Artificial General Intelligence

Location: Sunnyvale, California, United States
Profile: https://flows.cv/lizhang

As a Staff Machine Learning Engineer at Adobe, I'm working on the frontier of large language models (LLMs)/vision-language models (VLMs) to power next-generation design applications. My current focus is on using reinforcement learning(RL) to enable single/multi-step reasoning and intelligent tool use in creative workflows.

I have architected and built end-to-end systems for design content understanding, generation, variation, as well as multimodal embeddings. This includes building scalable data pipelines, orchestrating multi-node distributed training, evaluation based on both human heuristics and AI, applying RL-based post-training on massive datasets to advance the state of generative AI for creative design.

I also initiated and prototyped a design agent/MCP platform that enables customers to create and share their own design agents/MCP/workflow, seamlessly bridging generative AI tooling contribution with real-world creative workflows.

## Work Experience
### Principal Engineer, RL & Simulation @ NVIDIA
Jan 2026 – Present | Santa Clara County, CA

### Staff Machine Learning Scientist @ Adobe
Jan 2021 – Jan 2026 | San Jose, CA
Make design agents for EVERYONE
GenAI multi-modality model design / training / evaluation
Apply AGI for completely NEW user experience
Cloud computing
Distributed ML pipeline
Sensei platform
Reinforcement Learning for AIOps

### Senior Machine Learning Engineer @ Mercedes-Benz Research & Development North America, Inc.
Jan 2018 – Jan 2022 | Sunnyvale, CA, USA
Research on concepts and Implemented software for environment perception, sensor fusion, object detection, semantic segmentation, scene understanding.

"Graph Learning VS Learning Graph
Less Map Driving VS Mapless Driving"

### Software Engineer, advanced control @ FCA Fiat Chrysler Automobiles
Jan 2017 – Jan 2018 | Auburn Hills, MI
- Control development for V8 engine next generation using Machine Learning approach
- Developed simulation tool for next generation cylinder deactivation technology 
- MDS transition optimization

### Research Assistant @ Clemson University Research Foundation
Jan 2015 – Jan 2016 | 5 Research Dr, Greenville, SC 29607
•	Autonomous vehicle guidance in 3D environment using MPC. 
•	RC car lane keeping strategy based on yaw rate control.
•	Interaction between human driving vehicle and autonomous vehicle in V2V environment 
•	Hybrid Rallycross concept car using motorcycle engine

### G-class Product Management @ Beijing Mercedes-Benz Sales Service Co. Ltd
Jan 2014 – Jan 2015 | Beijing City, China
-	Technical support for 400 Mercedes-Benz dealers in China, including G500, G63 and G65
-	Products innovation, designed product portfolio and off-road package targeting Chinese market

### Assistant Manager @ Daimler Trucks and Buses China
Jan 2012 – Jan 2014 | Beijing City, China

### Software Programmer @ NetEase
Jan 2008 – Jan 2011 | Beijing City, China
•	Developed and integrated Vehicle Simulation System for car racing game based on Nvidia PhysX Engine using C++.
•	Optimized 3D skeleton animation using GPU shader programming, improved efficiency by 70%. 
•	Realized NPC path planning based on neural network.


## Education
### Master’s Degree in Mechanical Engineering
Clemson University

### Master of Business Administration (M.B.A.) in Business Administration and Management, General
University of International Business and Economics

### Bachelor’s Degree in Computer Software Engineering
Beijing Jiaotong University

### Specialization in Deep Learning
Coursera

### Nanodegree in Self-Driving Car
Udacity


## Contact & Social
- LinkedIn: https://linkedin.com/in/li-zhang-652bb7105

---
Source: https://flows.cv/lizhang
JSON Resume: https://flows.cv/lizhang/resume.json
Last updated: 2026-04-12