# Sparsh Srivastava

> ML Software Engineer @ Google, Columbia MS, AI Researcher - 3x Papers, 1x Patent

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

My goal is to teach you how to effortlessly manage and scale your engineering teams using AI - follow along to get my lessons learned on how a team should operate!

## Work Experience
### Software Engineer III (ML Monetization) @ Google
Jan 2024 – Present | Sunnyvale, CA
- Generated over $120M+ in new revenue by launching ML models to provide smart discounts, detect fraud, and predict churn for SMB customers purchasing Google Workspace, using yggdrasil decision trees and random forests.
- Created a constraint-optimized reinforcement learning model to rank promotional campaigns by their likelihood to drive SKU upgrades, increasing upsell conversion rates by over 25% and generating almost $55M in new revenue alone.

### Software Engineer II (Trust) @ Google
Jan 2022 – Jan 2024 | Sunnyvale, CA
- Launched Trust Rules for Docs & Drive to Beta and GA for Google Workspace, reporting over 1M new paid seats across 7 different SKUs and being awarded language readability for Java within three months.
- Migrated 20+ clients to avoid $400M in fines associated with EU GDPR & DMA compliance by implementing a new client library, identifying technical risks, and managing timelines for three junior engineers.

### Founder & CEO @ Tometo - AI Engineering Manager
Jan 2024 – Jan 2025 | San Francisco, California, United States
- Awarded #2 product of the day after launching our MVP to a community of 10K+ followers across platforms.
- Achieved 60%+ MoM user growth and scaled to 500+ customers, providing 30% reduction in time-to-launch for series A & B startups by using AI to automate team collaboration and technical management across their company.

### Senior Software Engineer @ Capital One
Jan 2021 – Jan 2022 | McLean, Virginia, United States
- Enabled automated ML orchestration for 30+ clients to securely deploy, serve, and monitor their models by designing a distributed API authentication framework to validate 10M+ requests per day across 80+ distinct microservices.

### Software Engineer @ Capital One
Jan 2020 – Jan 2021 | McLean, Virginia, United States
- Partnered with multiple teams across Capital One to implement voice biometrics for incoming callers, reducing account takeover (ATO) fraud by over 90% for over 45 million card customers.
- Maintained end-to-end ownership of an event-driven fraud feature calculator, written in Python and Go, utilizing cloud-native architecture and streaming data to provide real-time response to credit card fraud.

### Software Engineer @ Capital One
Jan 2019 – Jan 2019 | Richmond, Virginia, United States
- Received U.S. patent for PoC research on updating micro-service configurations in distributed architecture with zero downtime, leveraging asynchronous consumption from a shared SDP topic.
- Built a RESTful API for a proprietary payment platform, responsible for processing over 3 million transactions per second in real-time, written in Go.


## Education
### Master of Science (MS) in Computer Science - Machine Learning
Columbia University

### Bachelor of Science (BS) in Computer Science
Virginia Tech


## Contact & Social
- LinkedIn: https://linkedin.com/in/spars16

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Source: https://flows.cv/sparsh
JSON Resume: https://flows.cv/sparsh/resume.json
Last updated: 2026-03-22