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SHSushant Hiray
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Profile

Founder, CTO, and Enterprise AI Operator

Experience scaling ML organizations, conversational intelligence products, and production AI platforms.

Career arc

From founder CTO to enterprise AI operator.

At RingCentral, Sushant leads a global machine learning and data organization responsible for ACE (formerly RingSense) and conversational intelligence offerings across enterprise communications. The systems combine proprietary models with LLMs to deliver enterprise-scale capabilities.

Before RingCentral, he co-founded DeepAffects and served as CTO, pioneering speaker diarization as an API and securing 5 patents in speech and conversational AI before the company's acquisition in 2020.

His work sits at the intersection of AI strategy, product ownership, and platform architecture: building systems that scale, make economic sense, and support sustained customer adoption.

Timeline

Career timeline

  1. Senior Director of Machine Learning, RingCentral

    Leads a global AI organization responsible for ACE (formerly RingSense) and enterprise conversational intelligence systems.

  2. Co-Founder and CTO, DeepAffects

    Pioneered speaker diarization as an API, secured 5 patents in speech and conversational AI, and helped lead the company to acquisition in 2020.

  3. Software Architect, Lumiata

    Led distributed healthcare AI infrastructure work, including systems that improved model serving time by 10x.

  4. B.Tech, IIT Bombay

    Studied Computer Science and Engineering with a minor in Electrical Engineering.

Operating scope

The work spans organizations, portfolios, founder execution, and AI delivery.

01

ML and data organization

Global AI, machine learning, and data teams building production intelligence capabilities.

02

ACE portfolio

Conversational intelligence offerings, formerly RingSense, tied to enterprise communications workflows.

03

Founder-to-acquisition path

Product direction, technical strategy, patents, fundraising, research, and acquisition.

04

Product and platform architecture

Hybrid proprietary-model and LLM systems designed for scale, economics, and sustained adoption.