Think, Design, Build, Deliver & Repeat. My current passion is in building scalable data platforms.
My last few years at Linkedin and Amazon got me more intrigued at building scalable and high performance data platforms. Everything around is built upon 'Data' and I think data platforms serving heterogeneous applications are still evolving and we have a long way to go. I am happy to be part of this change and wish to contribute more to it.
Timeline
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Head of Engineering, Data Insights
Cribl
Apr 2025 - Current(1 year 7 months)
Co-Founder/CEO
Metaphor Data
Nov 2020 - May 2025(4 years 7 months)
Software Engineering Manager
LinkedIn
Aug 2018 - Nov 2020(2 years 4 months)
Staff Software Engineer
LinkedIn
Dec 2017 - Jul 2018(8 months)
Senior Software Engineer
LinkedIn
Jan 2016 - Dec 2017(2 years)
Software Engineer
LinkedIn
Sep 2014 - Dec 2015(1 year 4 months)
Software Development Engineer
Amazon
May 2013 - Sep 2014(1 year 5 months)
AWS EC2 Enterprise team.
Project 1 : Delivered EC2 billing reports which enables customers to analyze their historical billing data with various filters and grouping options.
Project 2 : Delivered Amazon Management Portal For VMware which is installed as a plugin within vcenter and enables users to manage both vmware and aws resources side by side. This also enables users to migrate resources from vmware datacenters to AWS using our connector appliance.
Graduate Student
University of Florida
Jan 2012 - Apr 2013(1 year 4 months)
Masters in Computer Engineering Courses : Analysis of Algorithms, Advanced Data Structures, Virtual Computers, Distributed Operating Systems, Computer Networks, Database Management Systems
Gossip Protocol using Scala • Design and implementation of Gossip group communication protocol for various distributed network topologies. • Implementation and performance analysis of failure models for "Push Sum" aggregation algorithm.
Lustre FS: • Open Source Lustre FS Project : Standard API for batch system schedulers. Developing a standard API interface for the batch system schedulers to interact with the Lustre Parallel File System , building an efficient system.