About

Archiki Prasad is a final year PhD student in Computer Science at the University of North Carolina Chapel Hill. With a background in Electrical Engineering from the Indian Institute of Technology, Bombay, Archiki has worked on a range of problems in applied Machine Learning, including Time-Series Forecasting and Automatic Speech Recognition (ASR). Archiki's recent work on understanding the effect of accents on end-to-end ASR models will appear in the proceedings of the Association for Computational Linguistics (ACL), 2020. Archiki's internship at the Big Data Intelligence Lab, Adobe Research, focused on time-series forecasting for cold-start entities, which was accepted in the poster track of the Web Conference (WWW), 2020. Archiki proposed a novel architecture: Continuous Dynamic Key-Value Memory Networks, an extension to Memory-Augmented Neural Networks, which achieved up to 55% improvement over LSTM baseline. Archiki has filed a patent in the US titled Cold Start Analytics: Time series forecasting using similarity across products. Archiki is currently actively looking for full-time/internships as a Software Engineer, ML/Research Engineer, Applied Scientist, and Quantitative Strategist roles. Archiki's relevant experience includes 1.78 years of work as a Research Scientist, with skills in ML, Big Data, NLP, Web, and Neural Networks. Archiki's Education History includes a Doctor of Philosophy - PhD in Computer Science from the University of North Carolina at Chapel Hill, and a Dual Degree (BTech + MTech) in Electrical Engineering from the Indian Institute of Technology, Bombay. Archiki also attended Sri Chaitanya Junior College, Hydernagar, and Jubilee Hills Public School, Hyderabad. Archiki's LinkedIn profile showcases their expertise in Natural Language Processing, Research, and Development, and provides a detailed overview of their work experience, education, and skills. Archiki's passion for solving complex problems using Machine Learning and Artificial Intelligence makes them a valuable addition to any team.