# Balaji Veeramani

> Software Engineer @ Anyscale

Location: San Francisco, California, United States
Profile: https://flows.cv/balaji

Building Ray (https://ray.io). Spent two summers on the Machine Learning Frameworks team at Amazon Web Services. Previously computer science and statistics student at UC Berkeley.

## Work Experience
### Software Engineer @ Anyscale
Jan 2022 – Present | San Francisco Bay Area

### Software Engineer @ Anyscale
Jan 2021 – Jan 2022 | San Francisco, California, United States

### Undergraduate Research Assistant @ Berkeley RISE Lab
Jan 2021 – Jan 2022 | Berkeley, California, United States
• Maintainer of NumS, a scalable NumPy implementation that outperforms Dask and Spark
ML on distributed memory clusters.
• Automated releases to PyPI and Conda using Poetry and GitHub Actions.
• Enforced code quality by introducing CI/CD checks for mypy, pylint, and black.

### Software Engineer Intern @ Amazon Web Services (AWS)
Jan 2021 – Jan 2021 | Seattle, Washington, United States
• Developed Python applications and Dockerfiles on the Machine Learning Frameworks team.
• Achieved 600% reduction in model hosting costs by designing and implementing feature to deploy models to Amazon Lambda.

### Software Engineer Intern @ Amazon Web Services (AWS)
Jan 2020 – Jan 2020 | Seattle, Washington, United States
• Developed Python applications and Dockerfiles on the Machine Learning Frameworks team.
• Optimized model training on Amazon SageMaker by configuring OpenSSH in the deep learning Docker containers to support distributed training with Horovod and PyTorch.
• Spearheaded project to redesign the serialization and deserialization API for the next major release of the SageMaker Python SDK.

### Research Intern @ University of Wisconsin-Madison
Jan 2019 – Jan 2019 | Madison, Wisconsin Area
• Conducted research on edge-cloud models under Professor Shivaram Venkataraman.
• Benchmarked the performance of 22 deep neural networks on Amazon EC2 using the OpenVINO computer vision toolkit.
• Published first-author workshop paper in third conference on Machine Learning and Systems.

### Software Engineer Intern @ Learning Games Network
Jan 2017 – Jan 2017
• Developed "At Play in the Cosmos", an educational game published on PC, iOS, and Android.
• Built an interactive simulation of the Doppler effect in Unity.


## Education
### Bachelor's degree in Computer Science and Statistics
University of California, Berkeley

### Mathematics
University of Wisconsin-Madison


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

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Source: https://flows.cv/balaji
JSON Resume: https://flows.cv/balaji/resume.json
Last updated: 2026-03-29