Sridhar R. Email & Phone Number

San Francisco, California, US

• Innovative product leader with a track record of launching groundbreaking solutions across diverse domains:1. Pioneered one of the first pilots utilizing the Atlas reasoning engine to enhance healthcare professionals'.
• Thought leader in enterprise AI adoption, emphasizing trust, safety, and accuracy as key value drivers.
• Champion of first-principles thinking, collaborating with top researchers to drive innovation.
• Expert in developing 0-1 products for industry verticals.
• Successful leader of a high-performing product management team, fostering individual and collective success.

Building engaging learning experiences for k-6 kids. Founder, CEO

Palo Alto, California, US

Drove product strategy for U-Self Serve a conversational chatbot platform for enterprises

Seattle, Washington, US

We provide high-quality training data for building machine learning models using a combination of the crowd & AI tools

San Francisco, California, US

1. Use Salesforce naturally with the power of speech and natural language. 2. Making your call center data searchable on Salesforce.

San Francisco, California, US

Building conversational systems for businesses to improve user experience and productivity. Lead a team to build the speech recognition service for 1. virtual assistants and 2. contact center automation. 3. Lead a moonshot project to build Salesforce's very own smart speaker by partnering with Amazon Alexa (announced Dreamforce 2019).

Boston, MA, US

Making a robot talk, listen, and understand. Includes bringing best in voice wake-up a.k.a. voice trigger, Automatic Speech Recognition (ASR), Natural Language Processing (NLP), speaker identification system, and Text-to-Speech (TTS). After launch, our product was recognized by Time Magazine (Nov 2017 edition) as one of the top 25 inventions of the year..

Boston, MA, US

Lead a team of extraordinary researchers and engineers to build an embedded, expressive and flexible Text To Speech engine for a home social robot. Helped move our tech stack from legacy Hidden Markov Models-based systems to Deep Learning models. Defined and ran experiments to gather Mean Opinion Score (MOS) for our TTS voice models. Worked with sound.

Boston, MA, US

Built an embedded, expressive Text-To-Speech (TTS) system for a robot from scratch using both open-source and in-house technologies. This enabled the robot to talk and have the personality that we were building.

San Jose, CA, US

Developed solutions for health care services in hospitals. My focus was on improving voice based interactions for our core product (the Vocera badge). Some noteworthy work that I'm proud of includes: Accurately recognizing proper nouns like contact names from user's speech, patient notes dictation- used Kaldi toolkit with a customized language model for.

Burlington, MA, US

Building a multi-channel NLU platform for processing unstructured text from text messages, Chatbots, IVRs, and voice assistants.

Burlington, MA, US

Built speech analytics solutions for contact centers. Lead a small but high-impact team to build a solution to discover insights from contact center call recordings. The problem we were addressing was to improve automated systems like IVR based on feedback from a transferred call to a human agent.

Burlington, MA, US

Built the data collection pipeline and experimentation platform for tuning speech recognition and natural language systems. Trained language and acoustic models for contact center use cases.

Ms, Electrical Engineering

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