# Chris Li

> Software Engineer @ Tesla | Car Enthusiast

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/chrisli1

Accelerate the world’s transition to sustainable energy.

## Work Experience
### Software Development Engineer, Sensing Team @ Tesla
Jan 2024 – Present | Palo Alto, California, United States
• Vehicle & robot sensor integration with big data platform developement, analysis, and performance optimization
• In-cabin radar feature and algorithm development (https://x.com/Tesla/status/1897024656131100676)
• Developed simulation and replay pipelines for various sensors and their core algorithms
• Designed and deployed sensor data metrics and dashboard for monitoring and making data driven decisions

### Sensor Integration Engineer, Sensing Team @ Tesla
Jan 2023 – Jan 2024 | Palo Alto, California, United States
• Sensor software development & data analysis for GPS, IMU, positioning, etc. for enhanced navigation and Autopilot features

### Software Engineer, Motion Planning Team @ Momenta
Jan 2023 – Jan 2023 | Suzhou, Jiangsu, China
MSD (Momenta Self-Driving) -> UNP (Urban Navigation Pilot) -> Motion Planning Team
• Deployed & optimized Constrained Iterative LQR Algorithm for lateral motion planning with added safety constraints that improve urban driving simulation success rate by 10%
• Designed lateral safety checker for bad planned trajectories
• Optimized build process for CiLQR docker to be 50% faster

### Lead, Autonomous Team @ Formula Electric at Berkeley
Jan 2021 – Jan 2022 | Berkeley, California, United States
• Led the team in building UC Berkeley’s first autonomous electric formula race car
• Implemented Key-point Regression / PnP algorithm for Monocular camera distance estimation
• Integrated Min-Laptime trajectory planner into AMZ simulator for optimal race-lane demonstration and control testing
• Secured 10,000+ USD V-LiDAR sponsorship for Gen-2 autonomous system

### Member, Autonomous Team @ Formula Electric at Berkeley
Jan 2021 – Jan 2021 | Berkeley, California, United States
• Designed fast and accurate perception pipeline with monocular camera set-up using Key-point regression, CNN, and PnP algorithm
• Programmed Lap-time optimization trajectory planner and N-MPC path follower using IPOPT/CasADi

### Graduate Researcher, Autonomous Driving Capstone Team, MPC Lab @ UC Berkeley College of Engineering
Jan 2021 – Jan 2022 | Berkeley, California, United States
• Debugged CARLA simulator on Docker to fix traffic management tools & programmed traffic simulation with traffic lights/stop signs
• Implemented an LSTM w/recursive multi-step strategy for trajectory prediction & achieved a <0.5 m RMSE for 10s forecast

### Graduate Researcher, Autonomous Driving Group, MSC Lab @ Mechanical Systems Control Lab at UC Berkeley
Jan 2021 – Jan 2022 | Berkeley, California, United States
• Implemented 1588 PTP using C++ that improved Lidar/camera synchronization accuracy by 99.1% from 46 to 0.4 millisecond error
• Developed dynamic delay and automatic timestamp matching software package on Python to improve sensor fusion accuracy by ~40%
• Led the research in improving multi-Lidar point cloud clustering/matching using K-means/NDT algorithm via Python on ROS
• Designed a low-latency energy-efficient PTP switch w/ RFQ written that reduced the total build cost by ~80% from $600 to $130/set

### Technical Program Manager, Battery Engineering Team @ Tesla
Jan 2021 – Jan 2021 | Shanghai, China
• Program managed 9 Model 3/Y 2170 battery programs using Jira & Confluence that would save Tesla 10 million USD per year 
• Cooperated with multiple teams to execute a new battery project and construct a ~420k USD trial manufacturing line within 6 weeks
• Designed a benchmark test for battery module width control that improved time efficiency by ~85% from 2 hrs to 20 min per trial
• Redesigned the structure of battery interstitial strips with full-surface laminated PE layer to improve the tensile strength by 60% 
• Designed a squared cross section contoured lock pin for coolant jumpers using CATIA to increase slip-off safety margin by 20% 
• Responsible for solving an urgent battery launch issue using Python + Excel data analysis to create a heat map of failed cells that validated a risky change action plan which eventually saved 2000+ hold cars and 7000+ battery packs from recall/remanufacture

### Undergraduate Researcher, Positioning & Navigation Lab @ Chinese Academy of Sciences
Jan 2020 – Jan 2021 | Beijing, China
• Developed a multi-sensor perception&control algorithm for robot racecars w/camera + infrared sensors powered by a STM32 via C++
• Programmed IMU/DDE modules in addition to GNSS/RTK on Jetson AGX Xavier via C++ to improve navigation accuracy by 25% 
• Co-led algorithm development & data analysis for GNSS spoofing detection under strong interference using auxiliary sensor system

### Mechanical Design Engineer, Transmission R&D Team @ Valeo
Jan 2020 – Jan 2020 | Nanjing, Jiangsu, China
• Co-led the design&testing of the 205 mm TC project for <200 Nm vehicles that would boost Valeo’s annual profit by 1.5 million USD
• Redesigned turbine blade w/CATIA & performed FEA analysis w/ANSYS for max cost-down while maintaining structural integrity

### Undergraduate Researcher, Structures-Computer Interaction Lab @ Structures-Computer Interaction Lab of UCLA
Jan 2020 – Jan 2020 | Los Angeles, California, United States
• Solved for stable boundary conditions for a helical rod structure with discrete structure analysis using Matlab/C++
• Implemented Hessian & Jacobian matrix for energy analysis and finite element method for force/motion analysis 
• Found the correlation between the helical rod’s critical angle of twist and rod pitch, radius, etc. using Matlab/C++

### Mechanical Design Engineer, E-CVT Team @ Bruin Racing
Jan 2017 – Jan 2019 | Los Angeles, California, United States
• Participated in designing the actuator mechanism of the 3rd-Gen E-CVT that keeps engine RPM within max power band
• Analyzed thermal performance of the transmission system and proposed several designs of cooling systems for better longevity 
• Improved power transmission ratio by 8% by programming the actuator arm’s engagement logic with data analyzed using Matlab
• Reached out to 20+ local tech companies through emails/calls for professional technical assistance and manufacturing resources


## Education
### Master of Science - MS (On-Campus) in Computer Science (Specialization: Machine Learning)
Georgia Institute of Technology
Jan 2022 – Jan 2024

### Master of Engineering - MEng in Mechanical Engineering (Concentration: Control of Robotic & Autonomous System)
University of California, Berkeley
Jan 2021 – Jan 2022

### Bachelor of Science - BS in Mechanical Engineering (Technical Breadth: Computer Science)
UCLA
Jan 2017 – Jan 2021

### Summer School in Physics & English Literature
Stanford University
Jan 2016 – Jan 2016

### High School Diploma in Advanced Placement (AP)
Jinling High School
Jan 2014 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/chrisli041

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Source: https://flows.cv/chrisli1
JSON Resume: https://flows.cv/chrisli1/resume.json
Last updated: 2026-03-23