about myself

I have a deeply-analytical background:

  • PhD Student in Control and Dynamical Systems @ Caltech.
  • Machine Learning Intern @ Lyft Level 5.
  • Mechanical Engineering (BSE) @ Princeton.

I have an aptitude for architecting and designing instructional information as a:

  • Consultant for B2B businesses for creating intuitive, user-friendly documentation.
  • Blogger to make complex technical topics accessible to anyone.

R e s u m e

Employment History

PhD Student

Caltech, Pasadena, CA

I am currently studying problems in safety-critical autonomous systems, formal methods, and also estimation theory. The main objective of my research is to designing formal mathematical frameworks to guarantee safety and liveness in multi-agent systems.

CMS-TA Fellow

Caltech, Pasadena, CA

Designed a website that provides helpful tips and resources for Caltech students who are TAing in the Computing and Mathematical Sciences (CMS) Department at Caltech. Also hosting workshop to prepare students for the TAing role.

Machine Learning Intern

Lyft Level 5, Palo Alto, CA

Used a combination of physics-based modeling and machine learning to design learning algorithms to predict vehicle dynamics. Designed high performance tools in C++ required for real-time feature extraction. Innovated new ML models and improved the accuracy of existing prediction tools by 30%.

B2B Instructional Designer


Designed the technical instructional information (and general infographics) for the code repository for a up-and-coming start-up that does Extraction-Transform-Load (ETL) functionality for B2B data pipeline.

Contact Me

If you would like to reach out to me, you can find my information below.

Annenberg 331, Caltech

kcai (at) caltech.edu