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Chenghui Cai

Director of Applied Sciences specializing in reinforcement learning and agentic AI for finance

AyataDuke UniversityNew York City, NY16 Years ExperienceDirector LevelWorks On-Site

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About

Embodied AI/robotics ML engineer with hands-on experience deploying POMDP-based reinforcement learning controllers on real mobile robots and vehicle fleets. Strong in sim-to-real robustness (domain randomization) and production rollout practices (HIL, shadow-mode, canaries, safety instrumentation), and has published related work (mentions a NeurIPS paper).

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Key Strengths

  • Deployed POMDP/RL policies on physical mobile robots (sim-to-real)
  • Robust sim-to-real transfer via domain randomization (noise, friction, delays, partial observability)
  • Built rigorous verification pipeline: simulation stress tests → HIL → shadow-mode → staged autonomous rollout with human override
  • Productionization of ML for robotics: distillation + quantization + hardware bench validation
  • High-impact architecture decision-making: pivoted from RL-only to hybrid model-based + learned control, cutting latency ~50% and improving reliability
  • Deep understanding of embodied AI challenges (modality gap, temporal coherence, distribution shift, safety, real-time constraints)
  • Applied generative models to create synthetic data to improve training/information extraction

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Experience

Director of Applied SciencesAyata – Prescriptive Analytics · Jan 2022 – Present
Co-FounderShenzhen Qianhai Jinxin Big Data Finance Service LLC · Aug 2015 – Dec 2021
Staff Scientist / Analytics ManagerOpera Solutions · Jan 2011 – Nov 2012
Co-FounderMQT Investments LLC · Dec 2011 – Apr 2013
Quantitative ResearcherCantor Fitzgerald · Mar 2010 – Dec 2010
Postdoctoral Research AssociateDuke University · Jun 2008 – Mar 2010

Education

Duke Universitydoctorate, Mechanical Engineering (Intelligent Systems) (2008)
Tsinghua Universitymaster, Mechanical Engineering (2003)
Tsinghua Universitybachelor, Mechanical Engineering (2000)

Awards

  • Interactive Brokers Collegiate Trading Olympiad (2007) - Ranked 6th with 41% gain in 2 months
  • Tsinghua Excellent Master Thesis Award
  • First Place Prize - Student Challenging Cup Sci. and Tech. Competition
  • Second Place Prize - Beijing College Mathematics Competition (1997)

Skills

AutomationAWSForecastingGitHubLinuxMachine learningMatlabMulti-agent systemsOCRPandasPredictive modelingPySparkPythonPyTorchR

Languages

English

Publications

22 publications

Reinforcement learningBayesian reinforcement learningPOMDPsMulti-task reinforcement learningMulti-agent coordinationSensor path planningSensor managementOptimal control under uncertaintyInformation-driven search

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Typically responds within 24 hours

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Chenghui CaiDirector of Applied Sciences specializing in reinforcement learning and agentic AI for finance