Flawless
Devesh Walawalkar is a Research Engineer at Flawless since August 2022, focusing on AI-based facial analysis technology, including face detection and motion tracking. Previously, Devesh worked as a Machine Learning Engineer at Honeywell from February 2020 to August 2022, where research involved developing AI frameworks for image classification and warehouse automation. At Carnegie Mellon University's CyLab, Devesh served as a Deep Learning Research Engineer from June 2018 to January 2020, leading the creation of a driver safety alert iOS application funded by PwC. As a Graduate Research Assistant at Carnegie Mellon University from February 2018 to May 2018, Devesh focused on active machine learning techniques for medical imaging and developed an efficient algorithm utilizing deep descriptor features. Devesh began with an in-plant internship at Mahindra Rise in 2015, creating prototypes for error-correcting systems. Educational qualifications include a Master's degree in Electrical and Computer Engineering from Carnegie Mellon University and a Bachelor of Technology in Electrical and Electronics Engineering from Veermata Jijabai Technological Institute.
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Flawless
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TrueSync from Flawless is the world's first system that uses Artificial Intelligence to create perfectly lip-synced visualisations in multiple languages. At the heart of the system is a performance preservation engine which captures all the nuance and emotions of the original material. Previous forms of dubbing and subtitling have provenundesirable for the majority of audiences. Often damaging and degrading the content through script changes and loss of sync. These problems create a barrier of entry to otherwise quality material. Our process untaps the films true potential, retaining all the quality and immersion of the original. This uplift in potential audience drastically increases its given value.