Senior Software Engineer
CurrentDeveloped virtual machine learning feature store (https://github.com/feathr-ai/feathr).
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@linkedin.com
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2 phones found area 213
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LinkedIn matched
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Rakesh Kashyap is listed as Building scalable infrastructure for data scientists at LinkedIn, based in San Francisco Bay Area, 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.
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AeroLeads found 1 current-domain work email signal for Rakesh Kashyap. Compare company email patterns before reaching out.
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.
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Sunnyvale, Ca, Us
Developed virtual machine learning feature store (https://github.com/feathr-ai/feathr).
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.
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) and python.
Evaluate homeworks and provide guidance to students who have taken Analysis of Algorithms course.
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.
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.
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
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Rose Tan
Colleague at LinkedinSan Francisco Bay Area, United States
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Caroline Watts (Bruner)
Colleague at LinkedinLos Angeles, California, United States
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Connie Shammas
Colleague at LinkedinNew York, United States
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Anuja Chakrabarti
Colleague at LinkedinBengaluru, Karnataka, India
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Delight Nwangwu
Colleague at LinkedinUnion City, California, United States
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Mikhail Kreytser
Colleague at LinkedinBrooklyn, New York, United States
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Daniel Sierzanski
Colleague at LinkedinIreland
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Kartik Kotak
Colleague at LinkedinBrunswick, Ohio, United States
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Imoni Cole-Palmer
Colleague at LinkedinBrooklyn, New York, United States
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Lizett Meraz
Colleague at LinkedinGreater Chicago Area, United States
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Rakesh Kashyap works for LinkedIn.
Rakesh Kashyap is listed as Building scalable infrastructure for data scientists at LinkedIn.
AeroLeads has found 1 work email signal at @linkedin.com for Rakesh Kashyap at LinkedIn.
AeroLeads has found 2 phone signal(s) with area code 213 for Rakesh Kashyap at LinkedIn.
Rakesh Kashyap is based in San Francisco Bay Area, United States while working with LinkedIn.
Rakesh Kashyap has worked for Linkedin, Apple, Microsoft, Arista Networks, and Grader - Analysis Of Algorithms.
Rakesh Kashyap's colleagues at LinkedIn include Rose Tan, Caroline Watts (Bruner), Connie Shammas, Anuja Chakrabarti, and Delight Nwangwu.
You can use AeroLeads to view verified contact signals for Rakesh Kashyap at LinkedIn, including work email, phone, and LinkedIn data when available.
Rakesh Kashyap holds B-Tech, Computer Science from National Institute Of Technology Karnataka.
Rakesh Kashyap is listed with skills including C, C++, Java, Algorithms, Programming, Python, Algorithm Design, and Linux.
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