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Rakesh Kashyap Email & Phone Number

Building scalable infrastructure for data scientists at LinkedIn
Location: San Francisco Bay Area, United States, United States 8 work roles 3 schools
1 work email found @linkedin.com 2 phones found area 213 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email r****@linkedin.com
Direct phone (213) ***-****
LinkedIn Profile matched
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Current company
Role
Building scalable infrastructure for data scientists
Location
San Francisco Bay Area, United States, United States

Who is Rakesh Kashyap? Overview

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Quick answer

Rakesh Kashyap is listed as Building scalable infrastructure for data scientists at LinkedIn, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at linkedin.com, phone signal with area code 213, and a matched LinkedIn profile for Rakesh Kashyap.

Rakesh Kashyap previously worked as Senior Software Engineer at Linkedin and Software Engineer at Apple. Rakesh Kashyap holds B-Tech, Computer Science from National Institute Of Technology Karnataka.

Company email context

Email format at LinkedIn

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{first_initial}{last}@linkedin.com
86% confidence

AeroLeads found 1 current-domain work email signal for Rakesh Kashyap. Compare company email patterns before reaching out.

Profile bio

About Rakesh Kashyap

Rakesh Kashyap is a Building scalable infrastructure for data scientists at LinkedIn. He possess expertise in c, c++, java, algorithms, programming and 15 more skills.

Listed skills include C, C++, Java, Algorithms, and 16 others.

Current workplace

Rakesh Kashyap's current company

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LinkedIn
Linkedin
Building scalable infrastructure for data scientists
Website
AeroLeads page
8 roles

Rakesh Kashyap work experience

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

Senior Software Engineer

Current

Sunnyvale, CA, US

Developed virtual machine learning feature store (https://github.com/feathr-ai/feathr).

May 2019 - Present

Software Engineer

Cupertino, California, US

Applied Machine Learning - Online Fraud detection platform. Working on building ETLs and high throughput, realtime, distributed, machine learning platform for Data Scientists.

Jun 2017 - May 2019

Software Development Engineer

Redmond, Washington, US

Azure - SQL Data Warehouse team

Jul 2016 - Jun 2017

Software Engineer Intern

Santa Clara, California, US

 Part of the Software Defined Networking team, worked on the Operating System of the Arista switch, designed to communicate with a Software Defined Controller. My work involved designing, implementing and testing a feature which enables the switch to talk to multiple,redundant controllers. Involved kernel programming in TACC (Arista defined language).

Jan 2016 - May 2016

Grader - Analysis Of Algorithms

Grader - Analysis Of Algorithms

Evaluate homeworks and provide guidance to students who have taken Analysis of Algorithms course.

Jan 2015 - Dec 2015

Network And Security Virtualisation Intern

Palo Alto, CA, US

As an intern at the data plane group of the NSX team at VMware working on implementation of a proposal which would learn MAC addresses in NSX logical L2 implementation based on an identifier assigned to the source transport node. This feature would handle fault tolerance and enable load balancing at the data plane level.

Jun 2015 - Aug 2015

Summer Intern

DE

Part of a team which worked on the implementation of Aqua (improvised version of The Onion Router). Aqua is a paper, accepted at SIGCOMM – 2013 and aims at efficient traffic analysis resistant networking.Guide – Prof. Paul Francis, Scientific Director, MPI-SWS.

May 2013 - Jul 2013

Summer Research Intern

International Institute Of Information Technology Bangalore

Research project regarding the Queuing Delays and Random Early Detection techniques used for HTTP-TCP packets. Developed a simulator to analyze the path of packets when multiple TCP connections are established.Guide – Prof Debabrata Das, Dean R&D, IIIT-B

May 2012 - Jul 2012
Team & coworkers

Colleagues at LinkedIn

Other employees you can reach at dukelong.com. View company contacts →

3 education records

Rakesh Kashyap education

B-Tech, Computer Science

National Institute Of Technology Karnataka

Masters In Computer Science, Computer Science

University Of Southern California

Junior High/Intermediate/Middle School Education And Teaching

Sri Kumaran'S Children'S Home (Cbse)
FAQ

Frequently asked questions about Rakesh Kashyap

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

What company does Rakesh Kashyap work for?

Rakesh Kashyap works for LinkedIn.

What is Rakesh Kashyap's role at LinkedIn?

Rakesh Kashyap is listed as Building scalable infrastructure for data scientists at LinkedIn.

What is Rakesh Kashyap's email address?

AeroLeads has found 1 work email signal at @linkedin.com for Rakesh Kashyap at LinkedIn.

What is Rakesh Kashyap's phone number?

AeroLeads has found 2 phone signal(s) with area code 213 for Rakesh Kashyap at LinkedIn.

Where is Rakesh Kashyap based?

Rakesh Kashyap is based in San Francisco Bay Area, United States, United States while working with LinkedIn.

What companies has Rakesh Kashyap worked for?

Rakesh Kashyap has worked for Linkedin, Apple, Microsoft, Arista Networks, and Grader - Analysis Of Algorithms.

Who are Rakesh Kashyap's colleagues at LinkedIn?

Rakesh Kashyap's colleagues at LinkedIn include Max Swain, Paul Chun, Dave Pond, Aniket Bhandarkar, and Andre Maldonado Monteiro, Cfa.

How can I contact Rakesh Kashyap?

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

What schools did Rakesh Kashyap attend?

Rakesh Kashyap holds B-Tech, Computer Science from National Institute Of Technology Karnataka.

What skills is Rakesh Kashyap known for?

Rakesh Kashyap is listed with skills including C, C++, Java, Algorithms, Programming, Python, Algorithm Design, and Linux.

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