Data management is the at the core of data-centric enterprises focusing on sorting data siloes. Are there any platforms addressing this need?

1. Can you tell us more about yourself? How did you get into tech?

Ever since I was a little kid, I developed a passion for mathematics. For me, math theories are art in its purest form. They can be as beautiful as classical or modern paintings, sculptures, or architecture.

When I realized that computers can actually do something useful with that math, I decided to become a software engineer. Building innovative systems to solve real-world problems using clever algorithms is the most exciting job I could have ever imagined.

2. Can you give us a brief of your career before Datadobi?

My initial focus was on security and cryptography, but that quickly shifted to building large-scale distributed systems storing or manipulating data. Security, scalability, performance, and availability are important aspects of such systems.

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I was an architect in the Centera group at EMC where we built the world’s first large-scale object storage system. After that, I worked in a start-up (Q-layer) where we built elastic computing cloud technology. Q-layer got acquired by Sun Microsystems. By 2009, smartphones became a big deal, and I ran my own mobile app start-up which was acquired a few years later.

Next, I joined Amplidata where we built a multi-datacenter object storage system using erasure coding. Amplidata was acquired by Western Digital. In 2019 I joined Datadobi to focus on the management, discovery, and optimization of really large unstructured data estates on NAS and object storage systems.