Bharani Subramaniam

Bharani Subramaniam

Head of Technology - India, Thoughtworks

Bharani, with 22 years of experience has been building applications since the late nineties, when he started his career as a VC++ win32 programmer. He is a connoisseur of various technologies but his passion lies in simplifying system designs. He also indulges in building strategies around data engineering and making the most of real time analytics for Thoughtworks' clients.

Bharani in his current role as the Head of Technology,India devotes most of his time to shaping new pursuits, actively participating in client projects, while also crafting blueprints that eliminate projects’ SOS calls, for rescue. He collaborates with the Thoughtworks' Technology Advisory Board that puts together thoughts on emerging technology trends in the industry, resulting in the much sought after Technology Radar. Bharani curates the technology inputs from India, Turkey and Singapore. Earlier leadership roles that Bharani has held, include the Office Technology Principal for Thoughtworks Chennai where he mentored the developer community in the region.

While, Bharani's geeky passion lies in learning and building low latency, high throughput applications, he has also capitalized on opportunities to design and build distributed systems, leveraging microservices. And what he loves most about coming to work is being surrounded by people who are smart and contribute to Thoughtworks’ open culture, which he believes, provides a great platform for people to question, challenge and learn.

The technology leader' hobbies outside technology, include playing a mean game of badminton and watching movies that are from the Marvel Cinematic Universe.

Keynote Title

Emerging architectures in GenAI apps


Session Overview

The transformative potential of Generative AI (GenAI) is undeniable, promising to revolutionise industries ranging from content creation and design to software development and scientific discovery. However, unlocking the true power of GenAI requires innovative architectures capable of overcoming the unique challenges it presents. This talk delves into the architectures shaping the future of GenAI applications, exploring their strengths, limitations, and suitability for diverse use cases.