Technology Working table

Washington, DC – Four Indian-origin women – Padmasree Warrior, Komal Mangtani, Neha Narkhede, and Kamakshi Sivaramakrishnan – have been named in a report by Forbes magazine in the 2018 list of the ‘Top Women in Technology’ in the US.

The intentionally un-ranked list also included heavyweights like IBM CEO Ginni Rometty and Netflix executive Anne Aaron.

The report also gave a brief description about these remarkable Indian-origin women.

Padmasree Warrior

Padmasree Warrior
Padmasree Warrior

A Cornell-trained engineer, Warrior is currently the CEO of Chinese autonomous vehicle start-up NIO, and sits in the boards of Microsoft and Spotify. She served in an executive position in Motorola and was the former chief technology officer (CTO) of Cisco. The 58-year-old played a major role in helping Cisco grow in influence, and in her seven years at the tech giant, she oversaw 16 acquisitions.

Komal Mangtani

Komal Mangtani
Komal Mangtani

Mangtani, an alumnus of Dharmsinh Desai Institute of Technology in Gujarat, is currently the head of business intelligence at Uber. Mangtani, 43, also sits on the board of nonprofit organization Women Who Code, and was instrumental in facilitating Uber’s $1.2bn donation and partnership with Girls Who Code to increase women’s access to computer science. Earlier, she had served in senior positions at Box and VMWare.

Neha Narkhede

Neha Narkhede
Neha Narkhede

Narkhede, an alumnus of Pune University, has her own company which services mega clients. Narkhede, 32, worked as a software engineer at LinkedIn and helped develop a platform called Apache Kafka that can process massive amounts of data in real-time. In 2011, the platform became open sourced, and is at the heart of Confluent, a company founded by Kafka. Confluent’s clients include giants like Goldman Sachs, Netflix, and Uber.

Kamakshi Sivaramakrishnan

Kamakshi Sivaramakrishnan
Kamakshi Sivaramakrishnan

Sivaramakrishnan, a Stanford engineer is a successful entrepreneur. Sivaramakrishnan, 43, founded a company called Drawbridge in 2010. Leveraging large-scale AI and machine learning, Drawbridge collects and processes data on the different daily-use devices like computers, smartphones, and laptops used by people, and offers advertisers a way to advertise across all devices a person uses. Drawbridge competes with the likes of Facebook and Google in offering this service.

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