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Puneet Gupta
Founder Neofy & Uno Digital Bank, Award winning CTO, Board member, inventor (100+ Patents) & C-level consultant. Building a Digital Bank. Key opinion leader
Puneet Gupta is a seasoned technology executive and entrepreneur with extensive experience in leadership roles across various companies. He has been serving as the Chairman of the Board at Polynomial.AI, an artificial intelligence SaaS startup focused on bringing human cognition level NLP to enterprises, since February 2020.23
Career Highlights
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Co-Founder at UNObank (January 2020 - Present): Involved in creating Asia's first all-cloud, truly digital full-spectrum neobank.2
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Co-founder and Global CTO at CoantumLeap (December 2019 - Present): Leading a Singapore-headquartered digital transformation platform focused on AI and financial services.2
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CTO at GlobalLogic (September 2018 - March 2020): Responsible for leading the company's push for emerging technologies and enabling market expansion in India and APAC.12
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Chief Digital Officer at ITC Infotech (July 2017 - September 2018): Shaped digital strategy and advised C-level clients on AI, Blockchain, and other emerging technologies.12
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CTO & Global Head at Brillio (August 2014 - June 2017): Led the company's technology and innovation strategy, overseeing digital consulting, experiences, and engineering business units.12
Education
Puneet holds a Bachelor of Engineering (BE) degree in Electrical, Electronics, and Communications Engineering from Delhi College of Engineering, which he completed from 1995 to 1999.1
Achievements
In March 2017, Puneet was recognized as one of the Top-100 C-suite thought leaders in the CHANGE AGENTS 100 by Enterprise IT World, alongside IT chiefs from leading global brands.2
Throughout his career, Puneet has been a featured author in international media publications such as WIRED, CIO Magazine, and IEEE, and has served as a professional speaker at various global events.12
Highlights
The biggest innovation or improvement area for LLMs in the next few years in rapidly expand context windows. That’s what will change the game.
To help undertand in simple terms, the size of the context window in large language models is crucial because it determines how much information the model can process at once. A larger context window allows the model to remember more of the conversation or text, making it better at handling complex tasks and maintaining coherence over long dialogues. It also helps reduce errors by keeping the model grounded in the relevant information, ensuring more accurate and context-aware responses. In essence, a bigger context window enhances the model's ability to understand and respond to complex, multi-part interactions efficiently.
