# Shuvam Chakraborty

> Software Engineer at Nuro

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

Software Engineer at Nuro, Stanford Alum

## Work Experience
### Software Engineer @ Nuro
Jan 2021 – Present | San Francisco Bay Area
Perception

### Machine Learning Researcher @ Stanford Artificial Intelligence Laboratory (SAIL)
Jan 2020 – Jan 2021 | Stanford, California, United States
Worked in Prof. Stefano Ermon's lab on ML research covering graphical models, reinforcement learning, and computer vision.

'Belief Propagation Neural Networks' published in NeurIPS 2020.
'IQ-Learn: Inverse soft-Q Learning for Imitation' published in NeurIPS 2021(spotlight). 
'Efficient Conditional Pretraining for Transfer Learning' published in CVPR 2022 Workshop.

### Course Assistant @ Stanford University
Jan 2021 – Jan 2021 | Palo Alto, California, United States
Teaching Assistant for CS 228 - Probabilistic Graphical Models, taught by Prof. Stefano Ermon.

### Quantitative Research Intern @ QuantCo
Jan 2019 – Jan 2019 | Berlin Area, Germany

### Machine Learning Intern @ Ouster
Jan 2019 – Jan 2019 | San Francisco Bay Area

### Data Science Intern @ Seattle Mariners
Jan 2018 – Jan 2018 | Seattle, WA


## Education
### Master of Science - MS in Statistics
Stanford University
Jan 2019 – Jan 2021

### Bachelor of Science - BS in Mathematical and Computational Science (MCS)
Stanford University
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/shuvam-chakraborty-458631121

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