# Arvind Saxena > Technical Leader and experienced Software Engineer. Location: San Francisco, California, United States Profile: https://flows.cv/arvindsaxena ## Work Experience ### Staff Software Engineer @ Credit Karma Jan 2020 – Present ### Engineering @ Applied Intuition Jan 2020 – Jan 2020 ### MTS (Team Lead) @ Rubrik, Inc. Jan 2018 – Jan 2020 | Palo Alto, CA ### Principal Software Engineer @ LogicHub Jan 2016 – Jan 2018 | Mountain View, CA ### Staff Software Engineer @ Zenefits Jan 2014 – Jan 2016 | San Francisco Bay Area ### Software Engineer @ Google Jan 2011 – Jan 2014 | Mountain View, CA ### Executive Committee @ MIT/Stanford Venture Lab ( VLAB) Jan 2010 – Jan 2014 ### Outreach Chair @ MIT/Stanford Venture Lab ( VLAB) Jan 2009 – Jan 2011 Spearheaded partnerships and in-kind affiliations for the MIT/Stanford Venture Lab + Established relationships with leading technology blogs and media outlets + Expanded and strengthened relationships between other leading non-profit entrepreneurial organizations + Increased VLAB's sphere of influence amongst entrepreneurs, investors, and technologists ### Operations Chair @ MIT/Stanford Venture Lab ( VLAB) Jan 2007 – Jan 2009 The MIT/Stanford Venture Laboratory (VLAB) is the San Francisco Bay Area chapter of the MIT Enterprise Forum, a volunteer, non-profit organization dedicated to promoting the growth and success of high-tech entrepreneurial ventures by connecting ideas, technology and people. ### MTS @ Conviva Jan 2007 – Jan 2011 | San Mateo, CA Primarily developer of computation engine of Live Insights product, a scalable low-latency real-time stream-processing system. This system takes in raw data and computes all the real-time metrics that displayed in the GUI console to external customers and monitored for operations purposes. It processes hundreds of megabytes per second, and can handle milions of concurrent users of the company’s live video platform. The product is a key differentiator for the company in the marketplace: http://www.conviva.com/insights From scratch, designed and implemented the system. Worked closely with Product Management to define metrics. Optimized computation. Parallelized the system using concepts drawn from MapReduce. Profiled memory and processor usage for code and design optimizations. Created suite of jUnit tests and system-level tests. Extended the system to be highly-available. ## Education ### Bachelor of Science in Electrical Engineering and Computer Science University of California, Berkeley ### Medicine University of California, Irvine - College of Medicine ## Contact & Social - LinkedIn: https://linkedin.com/in/arvindsaxena --- Source: https://flows.cv/arvindsaxena JSON Resume: https://flows.cv/arvindsaxena/resume.json Last updated: 2026-04-12