# Kshitij Kumbar

> Engineering at Applied Intuition

Location: San Jose, California, United States
Profile: https://flows.cv/kshitijkumbar

## Work Experience
### Software Engineer @ Applied Intuition
Jan 2024 – Present | Mountain View, California, United States

### Senior Software Engineer, Behaviors, DreamDrive @ Lucid Motors
Jan 2022 – Jan 2024 | Newark, California, United States
* Responsible for data-driven and learning based behavior planning algorithms for highway scenarios.

* Developed a recurrent network based multi-task classification and regression model for specific highway behavior generation.

* Deployed model through a C++ module for both simulation and vehicle embedded platforms using a wrapped Nvidia TensorRT engine.

* Developed a data pipeline for data processing from simulations and vehicle. Pipeline involved pre-processing data for consumption by model, as well as reporting statistics to detect anomalies with dataset (e.g. Class imbalance)

### Motion Prediction / Behavior Planning Engineer @ Lucid Motors
Jan 2020 – Jan 2022 | Newark, California, United States

### Motion Planning Engineer @ Auro (Autonomous Driving division of Ridecell)
Jan 2020 – Jan 2020 | San Francisco Bay Area

### Motion Planning Intern @ Auro (Autonomous Driving division of Ridecell)
Jan 2020 – Jan 2020 | Milpitas, California, United States
Designed and Developed longitudinal vehicle dynamics models for Software in the Loop Simulation and Testing of hybrid vehicles using sparse temporal data based System Identification techniques. Achieved up to 97% model fit accuracy for lateral models using only a 5 minute section of data.
Achieved up to 74% improvement in lateral and heading error tracking using augmented LQR controller for lateral dynamics. Improvements tested and verified in simulation and vehicle tests based on Baidu - Apollo AD architecture.

### Vehicle Integration and Testing Intern @ Samsung Electronics America
Jan 2019 – Jan 2019 | San Francisco Bay Area
Developed a modular Hardware in the Loop(HiL) bench architecture and setup a testbench for ADAS testing
Achieved sub-1ms CAN playback latency and GMSL2 interface based video playback on HiL test bench
Developed Software in the Loop (SiL) Python Test case scripts for ISO 17361, ISO 11270, ENCAP-LDW,LKA ADAS test standards using PikeTec TPT automation tool
Executed SiL test cases for ADAS functionality: Lane Departure Warning (LDW) and Lane Keeping Assist (LKA)

### Teaching Assistant @ Ahmedabad University
Jan 2017 – Jan 2018 | Ahmedabad Area, India
Responsible for conducting tutorials, evaluating assignments, conducting labs and assisting in student projects forcourses on Control Systems and Calculus.

### Project Intern @ Indian Institute of Technology, Bombay
Jan 2017 – Jan 2017 | Mumbai Area, India
Developed MATLAB based controls experiments for a DC motor kit . Completed set of basic experiments based on classical and modern control techniques using LabView and learnt the basics of PID tuning methods and modern control techniques such as Model-based Predictive Control(MPC) and Robust Control.

### Mechanical Engineering Intern @ Jetstream Electric
Jan 2015 – Jan 2015 | Ahmedabad
Learned basics of Aerodynamics, Flight Mechanics and Computational Fluid Dynamics and Finite ElementModelling using ANSYS-Structural and ANSYS-Fluent


## Education
### Master of Science - MS in Mechanical Engineering
Stanford University School of Engineering

### Bachelor’s Degree in Mechanical Engineering
School of Engineering and Applied Science, Ahmedabad University


## Contact & Social
- LinkedIn: https://linkedin.com/in/kshitijkumbar
- Portfolio: https://kshitijkumbar.github.io/
- GitHub: https://github.com/kshitijkumbar

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Source: https://flows.cv/kshitijkumbar
JSON Resume: https://flows.cv/kshitijkumbar/resume.json
Last updated: 2026-04-11