Dr. Sundeep Teki is the Founder of a new EdTech startup (stealth) focused on AI reskilling to create a talent pipeline at scale that will build AI for India.
Sundeep is a leader in AI and Neuroscience with professional experience in BigTech (Conversational AI at Amazon Alexa AI, Seattle), unicorn Startup (Applied AI at Swiggy, Bangalore), and Academia (Cognitive Neuroscience at Oxford University and University College London). He has published 40+ papers on Neuroscience and AI, secured £500k+ in research funding, and is recognised by the Royal Society, UK as an ‘Emerging Leader in Neuroscience’.
Sundeep consults deep tech startups on AI/ML product roadmap and team strategy, and conducts due diligence of early-stage deep tech startups for Inflection Point Ventures. He is an active Angel Investor, with a portfolio of 20+ tech startups in India, UK and Europe.
Sundeep is a leader in AI and Neuroscience with professional experience in BigTech (Conversational AI at Amazon Alexa AI, Seattle), unicorn Startup (Applied AI at Swiggy, Bangalore), and Academia (Cognitive Neuroscience at Oxford University and University College London). He has published 40+ papers on Neuroscience and AI, secured £500k+ in research funding, and is recognised by the Royal Society, UK as an ‘Emerging Leader in Neuroscience’.
Sundeep consults deep tech startups on AI/ML product roadmap and team strategy, and conducts due diligence of early-stage deep tech startups for Inflection Point Ventures. He is an active Angel Investor, with a portfolio of 20+ tech startups in India, UK and Europe.
Sundeep previously led Conversational AI R&D at Swiggy, India’s largest food ordering and delivery platform where he developed novel Deep Learning technologies for NLP and Speech. In NLP, he worked on Natural Language Understanding for chatbot, Intent as well as Sentiment Classification models. In Voice AI, he led research on Speech recognition for Hinglish, Voice sentiment analysis and led the team to publish Swiggy’s first AI paper.
Sundeep was a Research Scientist at Amazon Alexa AI in Seattle, USA, where he worked on advancing Alexa's Speech Recognition and Natural Language Understanding AI capabilities. He developed state-of-the-art deep learning models for end-to-end speech recognition and deployed high impact NLP models to detect and address sensitive and offensive conversations between Alexa and its users.
He obtained his PhD in Neuroscience from University College London, Master's in Neuroscience from the University of Oxford (Balliol) as a Clarendon Scholar, and BE in Electronics & Communication Engineering from the Delhi College of Engineering. He previously founded EduChroma, a personalised career mentoring startup and the Timing Research Forum, a 750+ member strong international organization focused on multidisciplinary research on our sense of time.