Tushita Gupta, CTO and Co-Founder, Refiberd

Starting in 2015, Tushita Gupta has a plethora of professional experience. They worked as a software engineer intern at Blue Coat Systems in 2015, where they fixed more than ten problems in the GRUB Loader and created features for the SSL Visibility Product. In 2016, Tushita continued her career as an intern in software engineering for air traffic control at Raytheon. They interned as a software engineer at Intel Corporation in 2017. While working as a Data Services Intern at Intuitive Surgical in 2018, they created a unique real-time compressor for kinematic data from the da Vinci robot, which resulted in a roughly six-fold reduction in bandwidth and storage needs.

As a software engineer at Atomwise in 2019, they designed a highly scalable machine learning workflow based on AWS and Kubernetes that allowed hundreds of drug discovery projects to be conducted annually. They also created an innovative, clever technique that could further reduce the cost and runtime of ultra large chemical library exploration by up to 6x and 16x, respectively. At Refiberd, Tushita now serves as CTO and co-founder.

Tushita Gupta started their academic career in 2014, graduating from Carnegie Mellon University with a Bachelor of Science in Electrical and Computer Engineering and a Biomedical Engineering double major. Tushita then pursued further education at the same college, where they earned a Master of Science in Electrical and Computer Engineering in 2018.

2023

The goal of Refiberd is to introduce “true textile circularity” to the fashion sector. Fabrics like cotton and polyester may be sorted thanks to Refiberd’s AI-based imaging, which can identify the kind of fiber and impurities in textile waste. Up to 70% of the textile waste stream, according to the business, may be diverted to high-value recyclers.

Christiane Dolva of the H&M Foundation, which provided a $200,000 grant to support the $3.4 million seed round, stated, “Technology needs to be part of the solution if end-of-life collection and sorting is to be done at scale.” “This would not only address the issue of waste, but also lessen the reliance of the fashion industry on virgin materials, hence lowering the amount of resources utilized and greenhouse gas emissions released.”

Latest news about Tushita Gupta

• Google has introduced a virtual fitting room, allowing users to try on clothes from home. The technology uses diffusion, combining a person’s photo with the desired clothing to create a realistic representation of the person wearing the clothes. The AI model uses data from its Shopping Graph to train and refine the tool, allowing users to shop for clothes with confidence and see their desired look on real models.
• Google has introduced Generative Image Dynamics, a technology that transforms static images into interactive dynamic scenes. This innovative approach uses an image-space prior on scene dynamics to create a comprehensive understanding of how objects and elements within an image behave when subjected to dynamic interactions. The technology allows users to interact with objects within static images realistically, enabling immersive and interactive experiences. The model learns from a vast dataset of motion trajectories from real video sequences, transforming the input image into dense motion trajectories.