Ashish Karandikar
Pune, Maharashtra,India
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Ashish Karandikar is a distinguished Research Scientist recognized for his significant contributions to the field of Artificial Intelligence, particularly in Large Language Models (LLMs) and AI alignment. He is currently a Staff Research Scientist at Google DeepMind. Prior to his role at Google, Ashish was a key member of the technical staff at OpenAI, where he played an instrumental role in developing and improving foundational models like GPT-3 and InstructGPT, focusing on making them more helpful, honest, and harmless. His work often involves deep learning, reinforcement learning, and natural language processing. Ashish earned his Ph.D. in Computer Science from the University of California, Berkeley, where his research focused on reinforcement learning and robotics under the guidance of Professor Pieter Abbeel. He is passionate about advancing the capabilities of AI while ensuring its development is safe and beneficial for humanity.
Professional Summary
Ashish Karandikar's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Key Contributor to GPT-3 and InstructGPT
During his tenure at OpenAI, Ashish made significant contributions to the research, development, and fine-tuning of groundbreaking models like GPT-3 and the InstructGPT series, which powers models like ChatGPT, focusing on alignment with human instructions and preferences.
Advancements in AI Alignment and Safety Research
Actively researches and publishes on methods to make AI systems safer and more aligned with human values, a critical area for the responsible development of advanced AI. This work continues at Google DeepMind.
Ph.D. Research in Reinforcement Learning and Robotics
Completed impactful doctoral research at UC Berkeley, contributing novel algorithms and insights in reinforcement learning applied to robotics, laying groundwork for more autonomous and capable robotic systems.
Publications in Top-Tier AI Conferences
Authored and co-authored numerous papers presented at prestigious AI conferences such as NeurIPS, ICML, and ICLR, disseminating cutting-edge research to the broader scientific community.
Educational Background
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Company Overview
CapgeminiCapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of nearly 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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