Akshay Bahadur
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Graduate Student at Carnegie Mellon University.
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Applied research engineer with 4 years of work experience in Machine Learning/ Big Data and a proven track record of developing large-scale data systems, including implementation of Machine Learning at Scale solutions in the E-Commerce & CyberSecurity industries.
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Developed an Indian Sign Language and Recognition System (ISLAR) for spreading awareness and helping the deaf and mute community in India. This effort got featured in multiple publications/blogs/newsletters including getting covered by Google in a youtube video.
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Delivered 50+ keynotes/sessions/demonstrations covering various topics on Machine Learning.
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Areas of Expertise: Information Retrieval, Product Ranking, Real-time Data platforms, Computer Vision, Natural Language Understanding, Big Data Systems.
Sessions
Sample this – two cities in India; Mumbai and Pune, though only 80kms apart have a distinctly varied spoken dialect. Even stranger is the fact that their sign languages are also distinct, having some very varied signs for the same objects/expressions/phrases. While regional diversification in spoken languages and scripts are well known and widely documented, apparently, this has percolated in sign language as well, essentially resulting in multiple sign languages across the country. To help overcome these inconsistencies and to standardize sign language in India, I am collaborating with the Centre for Research and Development of Deaf & Mute (an NGO in Pune) and Google. Adopting a two-pronged approach: a) I have developed an Indian Sign Language Recognition System (ISLAR) which utilizes Artificial Intelligence to accurately identify signs and translate them into text/vocals in real-time, and b) have proposed standardization of sign languages across India to the Government of India and the Indian Sign Language Research and Training Centre.