MLDS speaker · 2026

Ganesh Ramakrishnan

Professor, IIT Bombay and Founding Director, BharatGen

About Ganesh Ramakrishnan

Ganesh Ramakrishnan’s journey spans academia, industry, and national impact. After earning his PhD from IIT Bombay in 2004, he joined IBM Research India, where he worked on scalable information extraction systems. In 2009, he returned to IIT Bombay as an assistant professor, rising through the ranks to a full professorship in 2019. Throughout the 2010s, Ramakrishnan led projects in statistical relational learning, feature induction and machine translation. His work underpinned tools like Sandhan (an Indic‐language search engine), BET for inductive logic programming, and Udaan, a translation engine for technical content in Indian languages. In 2024, Udaan evolved into Udaan Project, licensed to Bharat Bhasha Tech, breaking language barriers in education. Today, he leads BharatGen, a government‑backed, open‑source, multilingual and multimodal foundation model initiative launched in September 2024. BharatGen aims to produce inclusive, data‑efficient AI models tailored to India’s cultural and linguistic diversity, built atop pipelines from Udaan and powered by Bharat Data Sagar and AIKosha. Beyond research, he serves as Bank of Baroda chair professor in digital entrepreneurship, heads IITB’s Koita Centre for Digital Health, and mentors PhDs focused on data‑efficient learning.

1 edition on the MLDS stage · 1 session on record

Ganesh Ramakrishnan, Professor, IIT Bombay and Founding Director, BharatGen

Talks at MLDS

Sessions from the MLDS agendas, newest first.

  1. MLDS 2026

    Bengaluru
    26–27 Mar 2026

    • Mar 26, 2026 · 17:25–17:45 · Hall 1 · Bengaluru

      Keynotes / Tech Talks

      BharatGen: Sovereign & Shared: Frugally Scalable Multilingual–Multimodal AI for Bharat

      BharatGen represents a new paradigm in building AI systems that are sovereign, inclusive, and purpose-built for India’s diverse linguistic and cultural landscape. This session explores how frugally scalable multilingual and multimodal AI models can be developed to serve Bharat at scale, balancing technological advancement with accessibility and efficiency. It will highlight the principles behind shared national AI infrastructure, enabling collaboration across academia, industry, and government to create AI that understands and serves India’s many languages and modalities. Attendees will gain insights into the opportunities, challenges, and impact of building sovereign AI capabilities that empower innovation while ensuring that AI development remains accessible, affordable, and aligned with the needs of Bharat.

    MLDS 2026 agenda MLDS 2026 talk recordings on YouTube (opens in a new tab)

MLDS 2027Feb 25–26 / Mar 4–5Early bird till 15 Dec

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