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Sparsh Srivastava Email & Phone Number

ML Software Engineer at Google
Location: San Francisco, California, United States 8 work roles 2 schools
1 work email found @google.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email s****@google.com
LinkedIn Profile matched
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Current company
Role
ML Software Engineer
Location
San Francisco, California, United States
Company size

Who is Sparsh Srivastava? Overview

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Quick answer

Sparsh Srivastava is listed as ML Software Engineer at Google, a company with 315106 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Sparsh Srivastava.

Sparsh Srivastava previously worked as Software Engineer at Google and Software Engineer at Google. Sparsh Srivastava holds Master Of Science (Ms), Computer Science - Machine Learning from Columbia University.

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Email format at Google

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*@google.com
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AeroLeads found 1 current-domain work email signal for Sparsh Srivastava. Compare company email patterns before reaching out.

Profile bio

About Sparsh Srivastava

Hi, I’m Sparsh - a software engineering professional turned founder, master’s graduate from Columbia University, certified cloud solutions architect, and graduate researcher in AR/VR + ML/AI, with a demonstrated history in the finance and technology industries. I'm always happy to chat, so feel free to reach out!

Listed skills include Leadership, Rest Api, R, Distributed Systems, and 55 others.

Current workplace

Sparsh Srivastava's current company

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Google
Google
ML Software Engineer
San Francisco, CA, US
Website
Employees
315106
AeroLeads page
8 roles

Sparsh Srivastava work experience

A career timeline built from the work history available for this profile.

Ml Software Engineer

San Francisco, CA, US

Software Engineer

Current

Mountain View, CA, US

- Directly contributed $1M+ to Google Workspace revenue by creating traditional ML models to reduce friction for SMB customers during sign-up by detecting fraud, predicting SKUs, and providing discounts.- Migrated 20+ clients to avoid $400M in fines associated with EU GDPR user data localization laws by identifying technical risks and managing timelines.

Jan 2024 - Present

Software Engineer

Mountain View, CA, US

- Delivered RPC services to trigger forced-updates for nearly 3M stuck out-of-sync customers of the Google Admin console, being awarded language readability for Java within 3 months.- Contributed crucial product adoption metrics and SLO monitoring dashboards for the Beta and GA launches of Trust Rules for Docs & Drive, reporting almost 1M paid seats across.

Apr 2022 - Jan 2024

Research Assistant

New York, NY, US

Led research and literature review on counterfactual predictions for "Assessing the Risk of Spine Surgery Complications", designed multiple iterations of UI in Figma, and implemented a react application to help doctors before surgery as a core member of the PRAISE Lab at the intersection of medical AI and augmented reality, advised by NSF, EAAI, and.

Jan 2024 - May 2024

Researcher

New York, NY, US

Conducted experiments with 100+ participants as lead author on two research papers about catalyzing social interaction in mixed reality using ML recommendation systems, advised by 2x ACM distinguished paper awardee Professor Gail Kaiser, Ph.D.https://arxiv.org/abs/2404.15325https://arxiv.org/abs/2404.19095

Jan 2024 - May 2024

Software Engineer - Senior Associate

Mclean, VA, US

- Developed multiple RESTful APIs, written in Python and Go, by working on a cross-functional team to automate generation of cloud infrastructure and enable real-time model execution for the enterprise Machine Learning Platform, using AWS EMR and EC2.

Aug 2021 - Mar 2022

Software Engineer - Associate

Mclean, VA, US

- 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 features.- Partnered and coordinated with multiple teams across Capital One to implement voice biometrics for incoming callers, substantially reducing account takeover (ATO).

Aug 2020 - Aug 2021

Software Engineer

Mclean, VA, US

- 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 1 million transactions per second in real-time, written in Go.

Jun 2019 - Aug 2019
2 education records

Sparsh Srivastava education

Master Of Science (Ms), Computer Science - Machine Learning

Columbia University

Bachelor Of Science (Bs), Computer Science

Virginia Tech
FAQ

Frequently asked questions about Sparsh Srivastava

Quick answers generated from the profile data available on this page.

What company does Sparsh Srivastava work for?

Sparsh Srivastava works for Google.

What is Sparsh Srivastava's role at Google?

Sparsh Srivastava is listed as ML Software Engineer at Google.

What is Sparsh Srivastava's email address?

AeroLeads has found 1 work email signal at @google.com for Sparsh Srivastava at Google.

Where is Sparsh Srivastava based?

Sparsh Srivastava is based in San Francisco, California, United States while working with Google.

What companies has Sparsh Srivastava worked for?

Sparsh Srivastava has worked for Google, Columbia Engineering, and Capital One.

How can I contact Sparsh Srivastava?

You can use AeroLeads to view verified contact signals for Sparsh Srivastava at Google, including work email, phone, and LinkedIn data when available.

What schools did Sparsh Srivastava attend?

Sparsh Srivastava holds Master Of Science (Ms), Computer Science - Machine Learning from Columbia University.

What skills is Sparsh Srivastava known for?

Sparsh Srivastava is listed with skills including Leadership, Rest Api, R, Distributed Systems, Amazon Web Services, Public Speaking, Linux, and Data Science.

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