Building AI native Data platform

Previously - Reporting and analytics product

Part 1: https://www.rippling.com/blog/ripplings-real-time-reporting-engine

Part 2: https://www.rippling.com/blog/thousands-millions-scaling-reporting-engine

My focus is on promoting ethical, responsible innovation and creating opportunities for others to grow in the field. Fellowship represents one of the highest levels of professional recognition within BCS, and I aim to use it as a platform to give back and help shape the future of technology for the wider society.

Reviewer for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Artificial Intelligence & Neural Processing Letters

For founders who are seeking strategic investment and hands-on expertise in AI and distributed systems, I am an angel investor who provides not only capital but also deep technological insights and guidance.

Bootstrapped machine learning at the company

• Built AutoEncoder models (influenced by BERT) to detect hate speech from Citizen chats

• Built a Convolutional neural network trained on police 911 calls to automatically detect severe incidents

Talks:

https://www.builtinnyc.com/2021/03/18/nyc-companies-machine-learning

https://www.datascience.salon/nikunj-aggarwal/

https://towardsdatascience.com/how-deep-learning-can-keep-you-safe-with-real-time-crime-alerts-95778aca5e8a