V

Vansh Khurana

Software Engineer

San Francisco, California, United States11 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building large scale intelligent systems.
  • Strong background in Distributed Systems and Machine Learning.
  • Proven track record in enhancing user engagement through personalization.
Stackforce AI infers this person is a SaaS expert with a focus on AI and Machine Learning.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence

Other Skills

Large Language Models (LLM)Distributed SystemsRecommender SystemsPersonalizationJavaHTMLMatlabCAlgorithmsC++ProgrammingAlgorithm DesignHivePythonSoftware Engineering

About

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

Experience

11 yrs 2 mos
Total Experience
2 yrs 2 mos
Average Tenure
5 yrs 2 mos
Current Experience

Apple

Staff Software Engineer

Mar 2021Present · 5 yrs 2 mos · 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.
Machine LearningArtificial IntelligenceLarge Language Models (LLM)Distributed SystemsRecommender SystemsPersonalization

Amazon

Software Development Engineer 2

May 2019Mar 2021 · 1 yr 10 mos · Greater Seattle Area

  • Distributed systems to enable Search and Discovery for Amazon's new cloud gaming service, Amazon Luna

Microsoft

Software Engineer

Jun 2018May 2019 · 11 mos · Greater Seattle Area

Vmware

Software Engineering Intern

May 2017Aug 2017 · 3 mos

  • 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

Georgia institute of technology

Graduate Teaching Assistant

Jan 2017May 2018 · 1 yr 4 mos

  • Machine Learning (Spring- 2018)
  • Machine Learning for Trading (2017)

Morgan stanley

Senior Associate

Aug 2014Jul 2016 · 1 yr 11 mos · Mumbai Area, India

  • 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

@walmartlabs india

Software Engineering Intern

Jul 2013Dec 2013 · 5 mos · Bengaluru Area, India

  • • 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

Central electronics engineering research institute

Intern

May 2012Aug 2012 · 3 mos

  • Research Intern in Re-configurable Computing Systems Group at CEERI, Pilani. Worked on Wireless Sensor Network's Simulators.

Education

Georgia Institute of Technology

Master of Science (MS) — Computer Science

Jan 2016Jan 2018

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (B.E.) — Computer Science

Jan 2010Jan 2014

Delhi Public School - R. K. Puram

Jan 2004Jan 2010

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