Aaditya Srivathsan
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Aaditya Srivathsan Email & Phone Number

MLE@DocuSign || CS@UW at DocuSign
Location: Seattle, Washington, United States 11 work roles 1 school
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
MLE@DocuSign || CS@UW
Location
Seattle, Washington, United States
Company size

Who is Aaditya Srivathsan? Overview

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Quick answer

Aaditya Srivathsan is listed as MLE@DocuSign || CS@UW at DocuSign, a company with 5526 employees, based in Seattle, Washington, United States. AeroLeads shows a matched LinkedIn profile for Aaditya Srivathsan.

Aaditya Srivathsan previously worked as Machine Learning Engineer at Docusign and Software Engineer at Bodo.Ai. Aaditya Srivathsan holds Bachelor'S Degree, Computer Science, 3.71 from University Of Washington.

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Profile bio

About Aaditya Srivathsan

An Engineer and an AI geek with an eye for designing solutions to solve problems in the field of health, sports, computer vision and natural language processing. Passionate about AI, Distributed Sys, and databases. When I am not trying to potentially change the world, I immerse myself in playing, watching, analyzing and tweeting about soccer, cricket and football

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Aaditya Srivathsan's current company

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DocuSign
Docusign
MLE@DocuSign || CS@UW
san francisco, california, united states
Website
Employees
5526
AeroLeads page
11 roles

Aaditya Srivathsan work experience

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Machine Learning Engineer

Current

Seattle, Washington, United States

Aug 2023 - Present

Software Engineer

Seattle, Washington, United States

Apr 2022 - Sep 2023

Teaching Assistant

Seattle, Washington, United States

Assisted Prof. Ryan Mass in teaching the database internals course to 95 UW CS students.Provided one-on-one assistance and office hours to students requiring additional help in understanding complex concepts like implementing a join algorithm and implementing transactions, to help them build an OLTP database system from scratch.Administered lesson.

Mar 2021 - Apr 2022

Software Development Engineering Intern

Seattle, Washington, United States

Interned with the Enterprise Personalization team at Amazon, building Recommendation systems as a service for Amazon subsidiaries. Developed an end-to-end, high quality recommendation system for an Amazon subsidiary, IMDb, in Java and Scala that recommends customers Award winning movies based on their implicit affinities. To be added in the title page of.

Jun 2021 - Sep 2021

Undergraduate Research Assistant

Personal Robotics Lab

Seattle, Washington, United States

Applied reinforcement learning to enable robots to perform complex physical manipulation tasks under clutter and uncertainty with and around people, under the supervision of Prof. Sid Srinivasa and Kay Ke.Engineered techniques to help robotic arms learn to navigate and pick up objects using chopsticks, by programming reward functions, tuning.

Oct 2020 - Jun 2021

Research Assistant

Seattle, Washington, United States

Worked on the CoughX platform, whose aim was to keep track of users cough numbers and patters, so as to detect conditions like pneumonia and then was modified to help counter the COVID-19 pandemic. My job involved analyzing and engineering different types of cough data collected by the lab by performing various data science techniques and then convert this.

Mar 2020 - Jun 2020

Football Referee

University Of Washington Intramurals

Greater Seattle Area

Officiate Intramural Flag Football by being either the head referee, line referee or the back referee. Along with officiating the game, my duty is also to maintain the integrity of the game as well as preserve the code of conduct of the game.

Sep 2019 - Dec 2019

Machine Learning Intern

Mumbai Area, India

Worked in the machine learning division of a Computer Vision and AI-based Image Quality Enhancement Platform.Developed defect detection algorithms using neural networks. Created a faulty image dataset consisting of 21000defective images. Then designed custom/ pretrained architectures for detection in keras which achieved a ~91% testing accuracy

Jul 2019 - Sep 2019

Member

Autorc

Greater Seattle Area

Member of the supervised learning group. The aim of the club is to create an Autonomous RC API that would convert any RC car to an autonomous RC car. My job in the supervised learning group is to implement a real time object detection software using Keras, which allows the RC car to detect objects and change its direction and speed.

Apr 2019 - Jun 2019

Member

Huskyadapt

Greater Seattle Area

The HuskyAdapt group uses computer technology to improve accessibility for disabled students. My role is to help design learning methods for a kid with muscular dystrophy.

Jan 2019 - Jun 2019

Intern

Mumbai Area, India

Learning the basics of Machine learning algorithms and Natural language processing libraries which culminated in a project which analyzed human sentiments

Jul 2018 - Sep 2018
Team & coworkers

Colleagues at DocuSign

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1 education record

Aaditya Srivathsan education

FAQ

Frequently asked questions about Aaditya Srivathsan

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

What company does Aaditya Srivathsan work for?

Aaditya Srivathsan works for DocuSign.

What is Aaditya Srivathsan's role at DocuSign?

Aaditya Srivathsan is listed as MLE@DocuSign || CS@UW at DocuSign.

Where is Aaditya Srivathsan based?

Aaditya Srivathsan is based in Seattle, Washington, United States while working with DocuSign.

What companies has Aaditya Srivathsan worked for?

Aaditya Srivathsan has worked for Docusign, Bodo.Ai, Paul G. Allen School Of Computer Science & Engineering, Amazon, and Personal Robotics Lab.

Who are Aaditya Srivathsan's colleagues at DocuSign?

Aaditya Srivathsan's colleagues at DocuSign include Dan Burnette, Cody Moore, Victoria Hunter, Eric Beatty, and Róisín Burke.

How can I contact Aaditya Srivathsan?

You can use AeroLeads to view verified contact signals for Aaditya Srivathsan at DocuSign, including work email, phone, and LinkedIn data when available.

What schools did Aaditya Srivathsan attend?

Aaditya Srivathsan holds Bachelor'S Degree, Computer Science, 3.71 from University Of Washington.

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