# Shailesh Vasandani

> Forward thinking software engineer using technology to make the world more equitable.

Location: Brooklyn, New York, United States
Profile: https://flows.cv/shailesh

Hi! I'm Shailesh, a software engineer and site reliability engineer based in New York. I love learning new things and perfecting old things, taking on exciting challenges, improving myself, and making the world more equitable through what I do.

## Work Experience
### Founding Software Engineer @ Rain
Jan 2022 – Present
Rain makes money flow more efficiently across the globe by rebuilding financial infrastructure. As a global card issuing and payments platform powered by stablecoins, we help partners launch and scale customizable, compliant programs that make digital assets instantly spendable at over 150 million merchants worldwide.

### Software Engineer, SRE @ Better
Jan 2021 – Jan 2022 | New York, United States
Drove production readiness initiative, creating services in Go and React, reducing average incident resolution time by ~55%, and lifting overall test coverage by 45%

Migrated critical services to a new user acceptance testing infrastructure environment, accelerating end to end test performance by 63%

Proposed and ran A/B tests on preapproval flow and analyzed results for statistical significance, increasing loan origination by more than $7M and revenue by over $560k

Incorporated a new design system in preapproval flow, boosting user activation by 12%

Automated internal Node package upgrade, slashing frontend bundle size by more than 81%

### Software Engineer @ UCLA Department of Linguistics
Jan 2019 – Jan 2021 | United States
Improved average search performance by >650x by designing and implementing an asynchronous, event-driven, microservice search architecture using Golang, Rust, and React.js

Lessened downtime by 84% through migrating a Ruby on Rails monolith to a microservices-based architecture with unit tests and integration tests (Puma, Cloudflare, EC2, RDS, Golang, React.js)

Ramped up contributors >2x faster by creating a CI/CD pipeline with Travis CI, Github Actions, Docker containers, and AWS EC2

### Research Team Lead @ Predictive Analytics @ NYU
Jan 2020 – Jan 2021 | New York, United States
Organized a 4-month curriculum around AWS SageMaker for students using Predictive Analytics for social good (e.g. healthcare, income inequality, access to banks)

Coordinated a team of 6 in data transformation and visualization efforts with 400 GB of clinical data

Drove a research effort to use big data and machine learning to predict COVID-19 severity in Python (scikit-learn, Jupyter), producing black-box and interpretable models reaching >99% accuracy


## Education
### Bachelor's degree in Computer Science
New York University


## Contact & Social
- LinkedIn: https://linkedin.com/in/shaileshvasandani
- Website: https://shaile.sh

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