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Fangkai YangFY
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Fangkai Yang

@fangkaiyang

I build autonomous-driving decision systems using AI, planning, and reinforcement learning.

United States
Message

What I'm looking for

I'm looking to build production AI systems for autonomous machines and intelligent decision-making, where I can apply planning, reinforcement learning, symbolic reasoning, and technical leadership to complex real-world problems.

At NVIDIA, I build AI technologies for autonomous-driving products, including behavior planning, trajectory prediction, decision-making, autonomous parking, and end-to-end software quality.

I develop state-machine decision logic and multi-agent behavior models that help vehicles evaluate trajectories, traffic rules, contention points, and safe yield behaviors. I also contribute to simulation and virtual validation with NVIDIA DRIVE Sim and NVIDIA DRIVE Constellation.

Previously at Maana, I researched decision-support systems combining symbolic planning, reinforcement learning, optimization, and knowledge-based reasoning. My work on Symbolic Deep Reinforcement Learning and Planner-Actor-Critic architectures focused on interpretable, data-efficient sequential decision-making.

At Schlumberger, I built real-time industrial analytics, semantic search, and planning systems for oil-and-gas software. I bring a Ph.D. in Computer Science, published research, patented technologies, and technical leadership across production AI systems.

Experience

Work history, roles, and key accomplishments

NVIDIA logoNV
Current

Senior Researcher

Jan 2019 - Present (7 years 8 months)

Lead and contribute to advanced AI technologies for autonomous-driving products, focusing on behavior planning, trajectory prediction, decision-making, autonomous parking, and end-to-end self-driving software quality. Drive end-to-end quality improvements across production autonomous-driving systems, improving reliability and performance in large-scale deployment environments.

MI

Senior Research Scientist

MAANA INC

Jul 2017 - Aug 2019 (2 years 1 month)

Researched and developed AI-powered decision-support systems combining symbolic planning, reinforcement learning, optimization, and knowledge-based reasoning

ST

Research Engineer

SCHLUMBERGER SOFTWARE TECHNOLOGY

Jul 2014 - Jul 2017 (3 years)

Developed prototype systems and commercial software for oil-and-gas applications involving artificial intelligence, Big Data analytics, semantic search, planning, scheduling, and optimization

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin logoTA

The University of Texas at Austin

Doctor of Philosophy, Computer Science

2008 - 2014

Ph.D. in Computer Science from The University of Texas at Austin, completed from 2008 to 2014.

University of Science and Technology of China logoUC

University of Science and Technology of China

Master of Science, Computer Science

2005 - 2008

Master of Science in Computer Science from the University of Science and Technology of China, completed from 2005 to 2008.

Hefei University of Technology logoHT

Hefei University of Technology

Bachelor of Engineering, Computer Science and Engineering

2001 - 2005

Bachelor of Engineering in Computer Science and Engineering from Hefei University of Technology, completed from 2001 to 2005.

Tech stack

Software and tools used professionally

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