Mahit Karadigudda
San Jose,CA
Summary
Computer Science student at Cornell University (Class of 2029) and Hunter Rawlings Presidential Research Scholar with hands-on research experience spanning robotics, machine learning, and computational biology. Currently contributing to Cornell's Verifiable Robotics Research Group, developing a Model Predictive Controller and trajectory planner in ROS. Previous work includes building AI models from linear regression through GANs, publishing a Python-based sociolinguistics study in the Journal of Emerging Investigators, and conducting bulk-RNA and single-cell analysis in R, presented at the Synopsys and Regeneron science fairs. Proficient in Python, Java, R, and Swift, with a track record of taking projects from independent research through publication and presentation.
Overview
4
4
years of professional experience
Work History
Student Researcher
Verifiable Robotics Research Group, Cornell University
02.2026 - Current
- Designed and implemented a receding-horizon Model Predictive Controller (MPC) and trajectory planner in ROS 2 (Humble), incorporating configurable trajectory padding, noise injection, and latency modeling to evaluate controller performance under realistic disturbances
- Built planner nodes using core ROS 2 architecture (topics, services, actions, parameters, tf2), with data logging and analysis via ros2 bag and colcon-managed workspaces
Independent Research
03.2023 - 04.2025
- Performed research on sociolinguistics using an Ordinary Least Squares Linear Regression AI model.
- Created a model that predicts language endangerment levels based on geographical regions.
- Examined the coefficients of the endangerment level for each region in the model.
- Research paper accepted to the Journal of Emerging Investigators.
Independent Researcher & Intern
ILab Research Institute
05.2023 - 01.2025
- Performed both bulk-RNA & single-cell analysis on mouse & human data (programming in R), studying the disease MASH.
- 2024 Synopsys Science Fair Presenter.
- 2025 Regeneron Science Fair Presenter.
- Research paper selected as a semifinalist to Columbia Junior Science Journal.
Research Intern
UCSC Science Internship Program
06.2024 - 08.2024
- Researched and built different AI models (programming in Python), from Linear Regression to Logistic Regression to Classifiers to Neural Networks to Convolutional Neural Networks.
- Final model studied was Generative Adversarial Networks (GANs), which can generate data and check if it appears real.
Student Volunteer
Breakthrough Silicon Valley
08.2023 - 05.2024
- Guided students through homework tasks for enhanced understanding.
- Instructed learners in key concepts of science and mathematics.
- Engaged with students from disadvantaged backgrounds to create pathways for achievement in STEM
Education
Bachelor of Arts - Computer Science
Cornell University
01-2029
Skills
- Python
- Java
- R
- Swift
- C
- IntelliJ
- Eclipse
- R Studio
- Xcode
- VSCode
- Cursor
- ros2 OS
Timeline
Student Researcher
Verifiable Robotics Research Group, Cornell University
02.2026 - Current
Research Intern
UCSC Science Internship Program
06.2024 - 08.2024
Student Volunteer
Breakthrough Silicon Valley
08.2023 - 05.2024
Independent Researcher & Intern
ILab Research Institute
05.2023 - 01.2025
Independent Research
03.2023 - 04.2025
Bachelor of Arts - Computer Science
Cornell University