# Sakshum Kulshrestha

> ML at Waymo

Location: New York City Metropolitan Area, United States
Profile: https://flows.cv/sakshum

Working on cool problems.

Some of my work:
https://scholar.google.com/citations?user=Exb9CHIAAAAJ&hl=en

## Work Experience
### Software Engineer @ Waymo
Jan 2023 – Present | San Francisco Bay Area
Synthetic data and generative models. 

Some related work:
https://neurips.cc/virtual/2024/poster/94590
https://waymo.com/research/scenediffuser-city-scale-traffic-simulation-via-a-generative-world-model/
https://waymo.com/research/scenediffuser-efficient-and-controllable-driving-simulation-initialization/

### Student Researcher @ University of Maryland
Jan 2021 – Jan 2023 | College Park, Maryland, United States
- Research under Dr. Chris Metzler and Computational Sensing Lab on computational imaging and machine learning tasks
- Study hypernetworks and optimized training algorithms for multi-parameter image denoising
- Developed novel methods for 3D imaging and tracking, papers at ICCV, CVPR, IEEE TIP

### Machine Learning Infra Intern @ Waymo
Jan 2022 – Jan 2022 | Mountain View, California, United States

### Software Development Intern @ Amazon
Jan 2021 – Jan 2021 | Seattle, Washington, United States
- Worked on confidential, unreleased project 
- Implemented data pipeline to analytics platform using AWS services, Apache Spark, and Hadoop
- Cleaned and transformed data in Scala for ingestion by visualizations and models

### Research Assistant @ NASA - National Aeronautics and Space Administration
Jan 2020 – Jan 2021
-Worked with Dr. Hannah Kerner, NASA Harvest, and JPL ML group to develop machine learning anomaly detection algorithms for targets in Mars Rover images
- Ran experiments and re-engineered visualization code to test algorithms designed to run onboard the rover for color and multi-spectral images

### Software/Data Engineering Intern @ Optum
Jan 2020 – Jan 2020
- Designed data aggregation and cleaning pipeline for COVID19 time series data
- Analyzed correlations and regressions between multiple signals and disease spread
- Forecasted COVID19 mortality rates
- Developed ensemble of predictive autoregressive models from scratch


## Education
### Master's degree in Computer Science
University of Maryland

### Bachelor of Science - BS in Computer Science, Magna Cum Laude
University of Maryland
Jan 2019 – Jan 2022

### High School Diploma
West Windsor-Plainsboro High School North
Jan 2015 – Jan 2019


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

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Source: https://flows.cv/sakshum
JSON Resume: https://flows.cv/sakshum/resume.json
Last updated: 2026-03-20