# Siddharth Ratapani Navin

> SLAM Software Engineer at NVIDIA

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

I am a software engineer in the Calibration and Localization team at NVIDIA. Previously, I worked in the SLAM team at Zoox and graduated with a masters in Robotics from the University of Michigan, Ann Arbor. My fields of interest include Perception for Autonomous Vehicles, Deep Learning, and Probabilistic Robotics.

## Work Experience
### Software Engineer for Autonomous Vehicle Calibration and Localization @ NVIDIA
Jan 2022 – Present | Santa Clara, California, United States

### Software Engineer for Localization, Mapping and Calibration. @ Zoox
Jan 2019 – Jan 2022 | Foster City, California

### Autonomous Vehicle Perception & SLAM Intern @ Toyota Research Institute
Jan 2018 – Jan 2019 | Ann Arbor, Michigan
-  3D object Instance detection and tracking using deep learning.
- Traffic light detection and state estimation.
- Camera and LIDAR sensor fusion for semantic segmentation of LIDAR data.
- Object detection and localization deep network inference speed-up for real-time detection and classification in a self-driving car.

### Graduate Teaching Assistant @ University of Michigan
Jan 2018 – Jan 2018 | Ann Arbor, Michigan
Perception and Control for Self Driving Cars - ROB 535
- Handle discussion hours to discuss autonomous vehicle perception technology.
- Prepare assignments and projects on onboard perception.
- Class of 275 students

### Team Leader and Chief Engineer @ Team Aeolus
Jan 2014 – Jan 2017 | Bengaluru Area, India
Team Aeolus is the aerial robotics club of PES University.
I led the team to top positions worldwide in four international competitions.
The list of achievements are:-
- 1st place in Asia and 6th place globally out of 45 teams at the International Aerial Robotics Competition '16.
- 3rd place in Asia amongst 83 teams at AIAA Design Build and Fly' 17.

### Research Intern @ The University of Edinburgh
Jan 2016 – Jan 2016 | Edinburgh, United Kingdom
Worked under Dr. Donghuk Shin at the University of Edinburgh.
- Developed Flame parameter relations by post-processing data from Gas turbine simulations produced using FORTRAN.
- Collaborated with other researchers to produce four significant flame parameter relations in a short period of 2 months.
- Was one of the three students selected for the internship out of a group of 210.


## Education
### Master of Science - MS in Robotic Perception and Mobile Robotics
University of Michigan
Jan 2017 – Jan 2019

### Bachelor’s Degree in Mechanical Engineering
PES University
Jan 2013 – Jan 2017

### High School in Computer Science
St Josephs Boys High School
Jan 2006 – Jan 2013


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

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