# Aditya Dusi

> Senior perception software engineer @ Rivian | Motional | Stanford Electrical Engineering

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

Currently: Senior software engineer in the perception team at Rivian. 

Previous: As a Senior Engineer at Motional, I worked on building, training, and deploying models for detection and segmentation from multi-modal inputs, such as LiDAR and cameras. I leverage my inquisitiveness and passion for machine learning and optimization to solve challenging problems in the autonomous vehicle industry.

Before joining Motional, I completed my Master of Science in Electrical Engineering from Stanford University, where I worked on psychophysics and perceptual similarity based image reconstruction algorithms in E.J. Chichilnisky's lab. I also have prior experience in image processing, software bug triaging, generative models, and smart agents in simulation. I am always eager to learn new skills and explore new domains.

## Work Experience
### Senior Software Engineer @ Rivian
Jan 2024 – Present | Palo Alto, CA
Perception team. I work on models for different perception tasks.

### Senior Engineer @ Motional
Jan 2022 – Jan 2024 | Santa Monica, California, United States
Perception: Building, training and deploying models for detection and segmentation from multi-modal inputs- LiDAR, RaDAR and cameras.

### Research Engineer @ Motional
Jan 2020 – Jan 2022 | Santa Monica, California, United States
Currently: LiDAR Perception
2020- Nov 2021: Metrics Engine (Reasonable Crowd, AV metrics)

### Graduate Research Assistant in Chichilnisky Lab @ Stanford University
Jan 2019 – Jan 2020
Working on psychophysics and perceptual similarity based image reconstruction algorithms in E.J. Chichilnisky's lab.

### Algorithm Engineer Intern @ Koko
Jan 2019 – Jan 2019 | Palo Alto, California
Previously called Totemic.
Designed and Implemented Algorithms to measure Activities
of Daily Living (ADL) using radar data in Python. Processed
Kalman tracks & applied stocastic processing techniques to
determine mobility with <10% error.

### Stanford Computational Imaging Lab @ Stanford University
Jan 2019 – Jan 2019 | Stanford
Worked as a student researcher on  Image based rendering and novel view synthesis using Deep Learning for this 3D vision problem. Implemented algorithms for occlusion reasoning and geometry/feature optimization for point clouds and also a rendering network to generate photorealistic images from new camera poses.  
Advised by Vincent Sitzmann and lab led by Prof. Gordon Wetzstein.

### Laboratory for Integrative Personalized Medicine (PIMed) @ Stanford University
Jan 2019 – Jan 2019 | Stanford
Part of the group that focuses on using Machine Learning and Signal Processing techniques to perform data fusion. Currently working on Radiology and Pathology data fusion. 
The Lab is directed by Dr. Mirabela Rusu, Division of Integrative Biomedical Imaging Informatics

### Intern @ NVIDIA
Jan 2018 – Jan 2018 | Bengaluru, Karnataka, India
• Verification of the Dynamic Code Optimizer for CPUs- Denver and Carmel; triaged and fixed bugs
• Familiarisation with ARM architecture, C-based ARM simulator, randomised and directed testing of codebase

### Research Assistant @ Nanyang Technological University
Jan 2017 – Jan 2017 | Singapore
•Researched on ground station and satellite antenna, ham-radio and digital interfacing of radio to computer
• Tested super capacitor banks, GPS and extracted data from it using Arduino Mega


## Education
### Master of Science - MS in Electrical Engineering
Stanford University
Jan 2018 – Jan 2020

### Bachelor of Engineering (B.E.) in Electrical, Electronics and Communications Engineering
BITS Pilani, Hyderabad Campus
Jan 2014 – Jan 2018


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

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