His interest in data systems developed during his undergraduate studies, at the end of which he published an IEEE research paper proposing a new algorithm to classify data into multiple groups based on different applications.

After his undergraduate studies, he joined JP Morgan Chase where he experienced how critical it is to ensure data integrity, security, and privacy. This experience further consolidated his interest in building systems with a focus on data.

Post his graduate education, he joined the NoSQL team at Amazon Web Services (AWS) where he played a pivotal role in developing its Global Admission Control system for DynamoDB service, an effort for which he was granted a patent. This effort helped propel DynamoDB as one of the prominent serverless database technologies in the world today. Currently, he uses his expertise at Meta Platforms, helping make Instagram accounts more secure against potential hackers.

Beyond his professional achievements, he is dedicated to giving back to the tech community. He actively participates in book reviews, serves as a judge in local and international competitions, and mentors the next generation of software engineers, sharing his knowledge and passion for technology.

He is of the strong opinion that inclusive data never lies and building systems that can leverage vast amounts of data available opens doors for technological advancements in the world. With the world currently embracing the emergence of Artificial technology, he aims to play an influential role in how data is structured and consumed by the Large Language Models to further this technology.