Chandra Khatri

Co-Founder

Palo Alto, California, United States13 yrs 11 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Pioneered India's first multilingual LLM.
  • Led development of autonomous conversational AI.
  • Advised multiple cutting-edge tech startups.
Stackforce AI infers this person is a leading expert in AI and machine learning across diverse applications.

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Skills

Core Skills

Artificial IntelligenceMachine Learning

Other Skills

AI CloudAI StackAI TrainingAI TransformationAI ValidationAdvisingAlgorithmsApache PigAutomationBig DataCC++Computational ProgrammingContext AwarenessConversational AI

About

As the founding Head of AI at Krutrim, Chandra Khatri is building the full AI stack for India, from chips to AI cloud to multilingual multimodal foundation models for consumer and enterprise applications. Driven by India's linguistic diversity with over a billion voices, his mission is to bridge the gap between urban and grassroots communities through the development of multimodal and multilingual foundation models. His team recently built "Krutrim", the world's first India-centric multilingual LLM, which outperforms several state-of-the-art foundation models in the Indian context. Before Krutrim, he founded Got-It AI, a pioneer in conversational AI, developing cutting-edge automation products including the first Enterprise LLM called Enterprise Language Model Architecture (ELMAR) and the first Hallucination Detection Platform (TruthChecker). He also spearheaded the creation of the world's first fully autonomous Conversational AI, significantly advancing virtual agent deployment. Under his leadership team also built MathGPT - one of the most advanced Math LLM used across universities and schools in the US, delivering AI-powered tutoring and teaching platform designed for both instructors and students. Before his tenure at Got-It AI, he established or led several AI teams at Amazon, Uber, and eBay, and created the Alexa Prize, the first voice-centric consumer-facing large-scale open-domain conversational system, akin to ChatGPT for Amazon Alexa users, built 5 years before ChatGPT emerged. In addition to developing products, he invests in or serves on the boards of cutting-edge technology companies such as OpenAI, ThirdAI and Optivolt.

Experience

Krutrim

Founding Head of AI

Jun 2023Present · 2 yrs 9 mos · Palo Alto, California, United States

  • Built India's full AI Stack - India's First LLM (https://ai-labs.olakrutrim.com/), first AI Cloud and Silicon. The goal is to enable AI for a Billion Voices: Bridging Urban to Grassroots in India's Diverse Linguistic Landscape through Multilingual Foundation Models served by our own AI cloud infrastructure and silicon.
  • Built India's first (https://ai-labs.olakrutrim.com/):
  • Large Language Model (Krutrim-1)
  • Vision Language Model (Drishti)
  • Voice Language Model (Dhwani)
  • IndicOCR (Chitrapathak)
  • AI Cloud (Prayan)
  • Our mission is to enable each of the 1.4B+ Indian consumers, developers, entrepreneurs and enterprises by putting the power of AI in their hands.
AI StackMultilingual Foundation ModelsAI CloudSiliconArtificial IntelligenceMachine Learning

Bitsaa silicon valley chapter

2 roles

Board Member

Jan 2022Present · 4 yrs 2 mos · San Francisco Bay Area

Chief Technology Officer

Jan 2020Dec 2021 · 1 yr 11 mos · San Francisco Bay Area

Thirdai corp.

Strategic Advisor

Sep 2021Present · 4 yrs 6 mos · San Francisco Bay Area

  • AI for everyone!
  • Democratizing AI through fastest training and inference of AI models on any machine. Hardware-free scalable and sustainable AI.
AI TrainingInferenceScalabilityArtificial Intelligence

Optivolt

Investor

Jul 2021Present · 4 yrs 8 mos · San Francisco Bay Area

  • Advisor and investor.
  • Optivolt is taking solar where it's never gone before & creating an era of perpetually-powered electric machines that completely run on the sun!

Arkestro

Advisor

Oct 2020Present · 5 yrs 5 mos

  • Artificial Intelligence and Technology Advisor helping Bid Ops in transforming their product through AI.

Got-it ai

Co-Founder

Sep 2020Present · 5 yrs 6 mos · San Francisco Bay Area

  • Led the team to build the first and most accurate Enterprise Large Language Model (ELMAR) and the first Hallucination Detection Platform (TruthChecker™) to make LLMs, Foundation Models hallucinations free. Led the efforts to build world's first "Fully Autonomous Conversational AI"
  • Automation in minutes to hours than months using AutoDiscovery™ to discover complete workflows/virtual agents and Auto ArticleBot to deliver accurate ChatGPT like experience for internal and external knowledge bases using Truth Checker™ AI.
  • Wearing multiple hats: technology, marketing, business development, and sales.
Conversational AIAutomationLLMHallucination DetectionArtificial IntelligenceMachine Learning

Uber

Lead Research Scientist - Uber AI

Oct 2018Sep 2020 · 1 yr 11 mos · San Francisco Bay Area

  • I led the Conversational AI, Multimodal AI, and Uber Eats Recommendation research and related products at Uber AI.
  • At Uber AI, I addressed language and general understanding, multi-modal interactions, human-agent interactions, and Artificial General Intelligence.

Various startups

Angel Investor and Advisor

Jan 2018Present · 8 yrs 2 mos · Palo Alto, California, United States

  • Actively advise tech startups on product, strategy and AI / Engineering.
  • Angel / Investor/Advisor to OpenAI, DeccanAI, Optivolt Labs, Arkestro, CoreThink, ThirdAI (Acquired ServiceNow), Got-It.Edu, The Wedding Company, Cosmodata, among others.
AI TransformationArtificial Intelligence

Amazon lab126

Lead AI Scientist

Jan 2017Oct 2018 · 1 yr 9 mos · Sunnyvale, California

  • Making Alexa Conversational. Contextual Speech and Language Models. Alexa Prize.
  • As the Lead Scientist for Alexa Prize at Amazon, I built and deployed several models such as: Contextual Topic Detection/Language Understanding Models, Offensive/Inappropriate Content Detection Models, Conversational Speech Recognition Models, Dialog Evaluation Models, Neural Language Generation Models, Conversational Bot Toolkit.
Conversational AIMultimodal AIRecommendation SystemsArtificial Intelligence

Cosmodata technologies

Director

Jul 2016Present · 9 yrs 8 mos · Remote

AdvisingInvestment

Ebay inc

2 roles

Research Scientist - Search & Shopping Experience

Promoted

Jul 2015Jan 2017 · 1 yr 6 mos · San Francisco Bay Area

  • Founded/Led Deep Learning for Search and Recommendations
  • Providing better search experience and faster decision making for users.
  • Designing and implementing search or buying signals and generating summaries for items/products at eBay.
Conversational AISpeech RecognitionLanguage ModelsArtificial Intelligence

Research Scientist Intern

May 2014Aug 2014 · 3 mos · San Jose, CA

  • Project
  • Designing and implementing a novel Context Aware Recommendation System for eBay Collections (http://www.ebay.com/cln)
  • Patent Due
  • Integrating Versatile Ranking Mechanism with Context Aware Recommendation System for better Personalization at User-level.
  • Scikit-learn, Scipy, Python, R (For scalable data)
  • Scala-spark, MLlib (For data on clusters).
Traffic PredictionMachine Learning

Georgia institute of technology

2 roles

Graduate Research Assistant

Promoted

Jan 2014Jun 2015 · 1 yr 5 mos

  • 1) Location Intelligence and Geospatial Navigation Application Development for People with Disabilities.
  • 2) Obtaining real-time traffic information in internal streets (not present in online maps). Using statistical modelling, traffic information from adjacent main roads/highways and routing algorithms to solve the sub-problems and finally scaling it up.
Deep LearningSearch AlgorithmsArtificial Intelligence

Master's Thesis

Jan 2014Jun 2015 · 1 yr 5 mos

  • Title: “Real-time Road Traffic and Incident Prediction by Mining the Textual Data from Web using Machine Learning and Natural Language Processing”.
  • Objective: To replace existing conventional ways of obtaining real-time traffic predictions and congestion index (which are very costly and time consuming) with Machine Learning techniques (which are cost effective, unbiased and fast.)
Geospatial NavigationStatistical Modelling

Oracle

Software Developer

Jul 2012Jul 2013 · 1 yr · Hyderabad Area, India

  • Worked as a core developer in Oracle’s Fusion Middleware Applications team.
  • Products
  • Data Mining for Governance, Risk & Compliance Product
  • Tools used
  • Shell Script, SQL, JAVA, Hudson, Apache Maven, Linux, Version Control: GIT, ADE
Recommendation SystemsContext Awareness

Council of scientific and industrial research

Research Assistant

Jul 2011Apr 2012 · 9 mos · Chennai, India

  • Computational Applications pertaining to Structures.
Data MiningSQLJava

Jaipur development authority

Project Intern

May 2010Jul 2010 · 2 mos

Education

Georgia Institute of Technology

Master of Science (MS) — Machine Learning

Jan 2013Jan 2015

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering (B.E.) — Hons.

Jan 2008Jan 2012

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