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Ignas Budvytis
Machine Learning and Computer Vision expert; EiR at CIC; former Assistant Professor at the Department of Engineering, University of Cambridge
Ignas Budvytis
Ignas Budvytis is a Machine Learning and Computer Vision expert who currently serves as the Entrepreneur in Residence at Cambridge Innovation Capital (CIC). He is also a former Assistant Professor at the Department of Engineering at the University of Cambridge.1
About Ignas Budvytis
- Machine Learning and Computer Vision expert
- Entrepreneur in Residence at Cambridge Innovation Capital
- Former Assistant Professor at the Department of Engineering, University of Cambridge1
Ignas Budvytis has a diverse background in academia and entrepreneurship. He holds a PhD in Computer Vision from the University of Cambridge, where he also obtained a Bachelor's degree in Computer Science.1
Prior to his current role, Ignas was a Founding Partner at Silicon Fen Concepts and held the position of Head of Strategy and Commerce at Sparrho, a scientific knowledge recommendation engine.1
Honors and Awards
Throughout his academic career, Ignas Budvytis has received numerous honors and awards, including:
- First Place at the Lithuanian National Informatics Olympiad (multiple years)1
- Silver Medal at the International Olympiad in Informatics (IOI) in 20041
- Gold Medal at the Baltic Olympiad in Informatics (BOI) in 20041
His team, Cambridge Interactive Video Solutions, also won an award at the Cambridge University Entrepreneurs £1K Business Plan Competition in 2012.1
As the Entrepreneur in Residence at CIC, Ignas Budvytis leverages his expertise in Machine Learning and Computer Vision to support the growth and development of innovative companies in the Cambridge ecosystem.
Highlights
Great to finally see a potential for a large scale adoption of robotics.
ML, NLP, Vision, Robotics and RL communities are about to face a tremendous challenge of robustly scaling ML systems across environments and tasks.
Will fine-tuning of Vision-Language-Action models (https://openvla.github.io/), scalable and mobile teleoperation for data collection (https://lnkd.in/djsMee-c) and adaptable multi-modal LLM-based agentic systems (https://lnkd.in/dSFDgW3m) be enough to manage the long tail?
https://lnkd.in/dvGcDfC5
Excited to announce that I'm joining Cambridge Innovation Capital as an Entrepreneur-in-Residence (EIR)!
Looking forward to interact with AI focused ventures in various topics including but not limited to LLMs, multi-modal foundational models, robotics and generative AI.
Particularly excited to be exploring applications in program synthesis and program induction for different applications building systems to semi-automatically solve computer vision, speech and/or other applied machine learning problems.
Thanks cic.vc for the opportunity!
Do not hesitate to get in touch if you are interested in any of he topics above.
#CIC #EIR #Startups #VentureCapital #AI
