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Sujay Kumar

Sujay Kumar

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Chief Revenue Officer (CRO) @ NStarX Distributed Machine Learning (Federated Learning), AI Platforms/Products, Kubernetes/Kubeflow, Digital Transformation, Cognitive. Modernization of Platforms, Private Equity/VC
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Education

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Indian Institute of Technology, Kharagpur

Bachelors and Masters, Mathematics and Computing 1993-01-01 - 1998-01-01
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Stanford University

Continued Education Courses, 1. Business Metrics and Models and 2. Angel Investment for Serious Investors 2010-01-01 - 2010-01-01
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Kendriya Vidyalaya

, 1985-01-01 - 1992-01-01

Work Experience

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NStarX

Current

NStarX

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Quark.ai

2022-01-01 - 2024-01-01

Quark.ai

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Accion Labs

2021-01-01 - 2022-01-01

Accion Labs

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Ness Digital Engineering

2017-02-01 - 2021-01-01

Ness Digital Engineering

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ITC Infotech

2006-04-01 - 2017-02-01

ITC Infotech

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Nous Infosystems

2004-04-01 - 2006-04-01

Nous Infosystems

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InfoQuark Solutions Pvt Ltd.

2000-03-01 - 2004-04-01

InfoQuark Solutions Pvt Ltd.

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Center for Artificial Intelligence and Robotics

1997-05-01 - 2000-03-01

Center for Artificial Intelligence and Robotics

Skills

Marketing Channel Partners Strategic Partnerships Marketing Strategy New Business Development Venture Capital Market Planning Direct Sales Sales Processes Sales Management Corporate Development Venture Development Acquisition Strategy CRM Solution Selling Entrepreneurship Customer Service Equities Pre-sales Business Development

Summary

At NStarX, we are committed to facilitating rapid product development without compromising on quality. Our approach harnesses the power of People, Process, Tools, and Technology, culminating in a robust MVP factory that ensures your ideas are brought to life efficiently and effectively. As staunch proponents of the open-source ecosystem, our NStarX Tools Framework (NTF) offers a distinctive advantage. NTF is meticulously designed to co-opt within your existing environment seamlessly, delivering an enterprise-grade system that aligns with the most stringent data privacy, security, and sovereignty requirements, all while ensuring your ecosystem remains undisturbed. What we have today: -- Distributed Machine Learning Framework that seamlessly allows you to carry out ML end to end when constrained by Data Privacy, FedRAMP, GDPR compliances -- GenAI Stack that allows you to enterprises to use Experiments-as-a-Service (EaaS) or Finetuning-as-a-service (FaaS) -- AI Test Automation Framework -- Be that "Startup in your enterprise" accelerating your enterprise through faster innovation, time to market - Sales and Marketing Leadership - AI and Generative AI strategies and large scale implementation - Large Account Management - Entrepreneurship - Raising funds for start ups - Business Strategy and implementation

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