# Rakesh Kashyap

> Building scalable infrastructure for data scientists

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/rakeshkashyap

## Work Experience
### Staff Software Engineer @ LinkedIn
Jan 2019 – Present | Sunnyvale
Developed virtual machine learning feature store (https://github.com/feathr-ai/feathr).

### Software Engineer @ Apple
Jan 2017 – Jan 2019
Applied Machine Learning - Online Fraud detection platform. Working on building ETLs and high throughput, realtime, distributed, machine learning platform for Data Scientists.

### Software Development Engineer @ Microsoft
Jan 2016 – Jan 2017
Azure - SQL Data Warehouse team

### Software Engineer Intern @ Arista Networks
Jan 2016 – Jan 2016 | Santa Clara
 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.

### Grader - Analysis of Algorithms @ Grader - Analysis of Algorithms
Jan 2015 – Jan 2015 | University of Southern California
Evaluate homeworks and provide guidance to students who have taken Analysis of Algorithms course.

### Network and Security Virtualisation Intern @ VMware
Jan 2015 – Jan 2015 | Palo Alto
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.

### Summer Intern @ Max Planck Institute for Software Systems
Jan 2013 – Jan 2013 | Kaiserslautern, Germany
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.

### Summer Research Intern @ International Institute of Information Technology Bangalore
Jan 2012 – Jan 2012
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


## Education
### B-Tech in Computer Science
National Institute of Technology Karnataka

### Masters in Computer Science in Computer Science
University of Southern California

### Junior High/Intermediate/Middle School Education and Teaching
Sri Kumaran's Children's Home (CBSE)


## Contact & Social
- LinkedIn: https://linkedin.com/in/rakeshkashyap123

---
Source: https://flows.cv/rakeshkashyap
JSON Resume: https://flows.cv/rakeshkashyap/resume.json
Last updated: 2026-04-12