MLDS speaker · 2019 · 2026

Ananth Nagaraj

Co-Founder & CTOGnani.ai

About Ananth Nagaraj

Ananth Nagaraj is the Co-Founder & CTO of Gnani.ai and a seasoned technology leader with over 15 years of experience in artificial intelligence, voice technologies, and software engineering. At Gnani.ai, he has been instrumental in developing advanced agentic AI and speech recognition solutions tailored for enterprise use. Prior to his entrepreneurial journey, Ananth worked as an Applications Engineer at Texas Instruments and held engineering roles at Aricent Group and Kyocera Wireless India, building a strong foundation in telecom and embedded systems. He also co-founded 300 Feet Eco Solutions, a waste management firm delivering innovative solutions for corporate spaces and large-scale events, while contributing to civic initiatives aimed at improving urban waste management systems in Bangalore.

2 editions on the MLDS stage · 2 sessions on record

Ananth Nagaraj, Co-Founder & CTO, Gnani.ai

Talks at MLDS

Sessions from the MLDS agendas, newest first.

  1. MLDS 2026

    Bengaluru
    26–27 Mar 2026

    • Mar 27, 2026 · 16:15–16:35 · Hall 1 · Bengaluru

      Keynotes / Tech Talks

      Inya Voice OS by Gnani.ai: An Integrated Approach to STT, TTS, and Voice-to-Voice AI

      This presentation introduces Inya Voice OS by Gnani.ai, an integrated voice AI platform that brings together Speech-to-Text (STT), Text-to-Speech (TTS), and Voice-to-Voice capabilities into a unified system. It explores how combining these components enables seamless, real-time conversational experiences, reducing latency and improving accuracy across voice interactions. The session will highlight the design principles behind building scalable and efficient voice pipelines, including handling multilingual speech, optimizing model performance, and enabling natural, human-like responses. It will also discuss practical applications of such an integrated voice stack in enterprise environments, demonstrating how end-to-end voice systems can enhance user engagement and operational efficiency. Additionally, the presentation will touch upon key challenges in deploying voice AI at scale, such as noise robustness, domain adaptation, and real-world variability in speech. The presentation will also include select case studies illustrating real-world deployments and measurable impact across industries. It will conclude with insights into future directions for voice technologies, including more personalized, context-aware, and adaptive voice interactions

    MLDS 2026 agenda MLDS 2026 talk recordings on YouTube (opens in a new tab)
  2. MLDS 2019

    Bengaluru
    30–31 Jan 2019

    • Jan 30, 2019 · 10:00–10:35 · Hall 1 · Bengaluru

      Keynote

      Learning To Learn

    MLDS 2019 agenda MLDS 2019 videos on YouTube (opens in a new tab)

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

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