# Vansh Khurana

> AI Personalization at Apple

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

Building large scale intelligent systems at Apple! 

Expertise in design and development of Distributed Systems and Machine Learning. 

My areas of interest include:
• Software Development and Architecture 
• Machine Learning 
• Artificial Intelligence
• Cloud Computing

## Work Experience
### Staff Software Engineer @ Apple
Jan 2021 – Present | Cupertino, California, United States
App Store Personalization - Technical direction and leading development for Personalization Engineering across App Store to deliver more relevant and engaging experience to our users.

### Software Development Engineer 2 @ Amazon
Jan 2019 – Jan 2021 | Greater Seattle Area
Distributed systems to enable Search and Discovery for Amazon's new cloud gaming service, Amazon Luna

### Software Engineer @ Microsoft
Jan 2018 – Jan 2019 | Greater Seattle Area

### Graduate Teaching Assistant @ Georgia Institute of Technology
Jan 2017 – Jan 2018
Machine Learning (Spring- 2018)
Machine Learning for Trading (2017)

### Software Engineering Intern @ VMware
Jan 2017 – Jan 2017
• Software Engineering Intern in Cloud Software Provider group- Developed API’s, REST Web Services and frontend for VMware vCloud Extender- facilitates migration of VMs from On Premise SDDC to Service Providers and Network Stretch
• Developed SaaS based on vCloud Director Extension Services to enable discovery of vCloud Extender in a distributed Setup; APIs for Static IP Pool Management; SaaS for Dynamic Log Config Management; and app to rapidly deploy and run sanity tests on vCloud Extender

Mentions: https://blogs.vmware.com/vcloud/2017/09/vcloud-extender.html

### Senior Associate @ Morgan Stanley
Jan 2014 – Jan 2016
•	Senior Associate in the Equity Swaps Trading Team: Developed distributed computing platform to enable new line of Business products – Single Name Swaps (SNS)
•	SNS suite offered capabilities to develop trading strategies at finer level of granularity, offering flexibility while realizing gains and enhanced tax benefits
•	Contributed across multiple streams to enable SNS- High performance query system to integrate data across the ecosystem, scheduling library, risk feed to controllers, classification engine to enable onboarding
•	Worked primarily with Java, Python, Q/ KDB, C#, IBM DB2, Sybase and Mongo DB

### Software Engineering Intern @ @WalmartLabs India
Jan 2013 – Jan 2013
•	Software Engineering Intern in the Product Genome team. Developed text mining and Information retrieval based algorithms to enrich content of product pages with primary focus on books and electronics

### Intern @ Central Electronics Engineering Research Institute
Jan 2012 – Jan 2012
Research Intern in Re-configurable Computing Systems Group at CEERI, Pilani. Worked on Wireless Sensor Network's Simulators.


## Education
### Master of Science (MS) in Computer Science
Georgia Institute of Technology
Jan 2016 – Jan 2018

### Bachelor of Engineering (B.E.) in Computer Science
Birla Institute of Technology and Science, Pilani
Jan 2010 – Jan 2014

### Delhi Public School - R. K. Puram
Jan 2004 – Jan 2010


## Contact & Social
- LinkedIn: https://linkedin.com/in/vansh21k

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Source: https://flows.cv/vansh
JSON Resume: https://flows.cv/vansh/resume.json
Last updated: 2026-03-22