Chandra Khatri
Founding Head Of AI at Arkestro
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolChandra Khatri is a founder-stage AI leader with 11+ years building production-grade conversational, multimodal, and multilingual systems across Amazon, Uber, eBay, and his own startups. As Founding Head of AI at Krutrim he’s architected India’s full AI stack—from silicon and AI cloud to Krutrim-1, Drishti, Dhwani and IndicOCR—aimed at bringing AI to a billion+ diverse Indian voices. He previously co-founded Got-It AI, shipping enterprise LLMs and a first-of-its-kind hallucination detection platform (TruthChecker™) and autonomous conversational automation. His research-to-product track record includes creating the Alexa Prize voice conversational program years before ChatGPT and contributing QA/test automation to Uber’s Plato dialogue system, showing a rare blend of deep research, productization, and engineering rigor. An active advisor and investor in AI and hardware-aware startups, he pairs strategic board-level perspective with hands-on system building. Based in Palo Alto and trained at Georgia Tech and BITS Pilani, he focuses on making frontier models practical, robust, and locally relevant.
11 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science (MS) Machine Learning, Master of Science (MS) Machine Learning at Georgia Institute of Technology
Github Skills (7)
unit-testing10
dialogue-systems10
travis-ci10
python10
test-automation10
cicd9
conversational-ai9
Programming languages (2)
Github contributions (5)
uber-archive/plato-research-dialogue-system
Aug 2020 - Sep 2020
This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:30 commits, 27 pushes, 2 branches in 1 month
Contributions summary:Chandra primarily focused on improving the quality and reliability of the Plato Research Dialogue System. Their contributions involved adding and updating unit tests for the project, ensuring the correct functionality of the core components. Furthermore, the user integrated Sphinx for documentation generation and automated the build process within the CI/CD pipeline using Travis CI, demonstrating a focus on both testing and documentation best practices. This work ensures the system's robustness and maintainability.
nlpdevelopingconversationalconversational-aiagents
chagri/Conversational-AI-NLP-Tutorial
Mar 2021 - Oct 2022
Contributions:17 commits, 13 pushes, 1 branch in 1 year 7 months
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