Kshitij Kumbar Email & Phone Number
@stanford.edu
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Who is Kshitij Kumbar? Overview
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Kshitij Kumbar is listed as Engineering at Applied Intuition, a with 201 employees, based in San Jose, California, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Kshitij Kumbar.
Kshitij Kumbar previously worked as Senior Software Engineer, Behaviors, DreamDrive at Lucid Motors and Motion Prediction / Behavior Planning Engineer at Lucid Motors. Kshitij Kumbar holds Master Of Science - Ms, Mechanical Engineering from Stanford University School Of Engineering.
Email format at Applied Intuition
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AeroLeads found 1 current-domain work email signal for Kshitij Kumbar. Compare company email patterns before reaching out.
About Kshitij Kumbar
I am currently developing next-generation behavior planning and personalization methods using Machine learning methods across the entire feature life cycle - from data-collection/analysis, prototyping to deploying on compute constrained platforms. My work/personal projects include various Machine Learning techniques ranging from CNNs, classical NLP inspired methods(LSTMs), using pre-trained Large Models using Retrieval Augmented Generation/fine-tuning Large Language Models using Parameter Efficient Fine Tuning Methods, diffusion models to exploring model-free Deep Reinforcement Learning techniques. My other responsibilities include developing and maintaining Highway Behavior Planning algorithms that are in production/active development and ADAS feature triage tooling.
Listed skills include Microsoft Office, Research, C, Leadership, and 7 others.
Kshitij Kumbar's current company
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Kshitij Kumbar work experience
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Senior Software Engineer, Behaviors, Dreamdrive
Current* 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
Motion Planning Engineer
Motion Planning Intern
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
Developed a modular Hardware in the Loop(HiL) bench architecture and setup a testbench for ADAS testingAchieved sub-1ms CAN playback latency and GMSL2 interface based video playback on HiL test benchDeveloped Software in the Loop (SiL) Python Test case scripts for ISO 17361, ISO 11270, ENCAP-LDW,LKA ADAS test standards using PikeTec TPT automation toolExecuted SiL test cases for ADAS functionality: Lane Departure Warning (LDW) and Lane Keeping Assist (LKA)
Teaching Assistant
Responsible for conducting tutorials, evaluating assignments, conducting labs and assisting in student projects forcourses on Control Systems and Calculus.
Project Intern
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
Learned basics of Aerodynamics, Flight Mechanics and Computational Fluid Dynamics and Finite ElementModelling using ANSYS-Structural and ANSYS-Fluent
Colleagues at Applied Intuition
Other employees you can reach at lucidmotors.com. View company contacts for 201 employees →
Badri Nallur Srinivasan
Colleague at Applied IntuitionTempe, Arizona, United States
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Joyce Wren, Cms (Cebs), Shrm-Cp, Phr
Colleague at Applied IntuitionUnited States
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Jack Morningstar
Colleague at Applied IntuitionOakland, California, United States
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Dharmendra Kumar
Colleague at Applied IntuitionKanpur Nagar, Uttar Pradesh, India
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Alfonso López
Colleague at Applied IntuitionCasa Grande, Arizona, United States
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Marci Anderman
Colleague at Applied IntuitionSan Francisco Bay Area, United States
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Alejandro Bautista
Colleague at Applied IntuitionCasa Grande, Arizona, United States
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Gagan Dhingra
Colleague at Applied IntuitionSan Francisco, California, United States
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Michael Gahagan
Colleague at Applied IntuitionGreater Phoenix Area, United States
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Georgina Martínez Sánchez
Colleague at Applied IntuitionNewark, California, United States
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Kshitij Kumbar education
Master Of Science - Ms, Mechanical Engineering
Bachelor’S Degree, Mechanical Engineering
Frequently asked questions about Kshitij Kumbar
Quick answers generated from the profile data available on this page.
What company does Kshitij Kumbar work for?
Kshitij Kumbar works for Applied Intuition.
What is Kshitij Kumbar's role at Applied Intuition?
Kshitij Kumbar is listed as Engineering at Applied Intuition.
What is Kshitij Kumbar's email address?
AeroLeads has found 1 work email signal at @stanford.edu for Kshitij Kumbar at Applied Intuition.
Where is Kshitij Kumbar based?
Kshitij Kumbar is based in San Jose, California, United States while working with Applied Intuition.
What companies has Kshitij Kumbar worked for?
Kshitij Kumbar has worked for Applied Intuition, Lucid Motors, Auro (Autonomous Driving Division Of Ridecell), Samsung Electronics America, and Ahmedabad University.
Who are Kshitij Kumbar's colleagues at Applied Intuition?
Kshitij Kumbar's colleagues at Applied Intuition include Badri Nallur Srinivasan, Joyce Wren, Cms (Cebs), Shrm-Cp, Phr, Jack Morningstar, Dharmendra Kumar, and Alfonso López.
How can I contact Kshitij Kumbar?
You can use AeroLeads to view verified contact signals for Kshitij Kumbar at Applied Intuition, including work email, phone, and LinkedIn data when available.
What schools did Kshitij Kumbar attend?
Kshitij Kumbar holds Master Of Science - Ms, Mechanical Engineering from Stanford University School Of Engineering.
What skills is Kshitij Kumbar known for?
Kshitij Kumbar is listed with skills including Microsoft Office, Research, C, Leadership, Html, Public Speaking, Ansys, and Python.
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