Experience

Microsoft Research

πŸ‘¨β€πŸ’»Machine Learning Research Intern

πŸ“Bengaluru, India

βŒ›2022/Jun - 2022/Aug

Manager: Dr. Pratyush Kumar

  • Building IndianSpeech: Text to Speech for Indian languages with zero-shot cross-lingual voice cloning

Mohamed Bin Zayed University of Artificial Intelligence

πŸ‘¨β€πŸ’»Machine Learning Research Assistant

πŸ“Abu Dhabi, UAE

βŒ›2021/Jan - 2021/Jul

Advisor: Dr. Karthik Nandakumar

  • Developed DoENet, a double encoder using Variational Autoencoders and GANs, for unsupervised adversarial attack classification

TCS Research

πŸ‘¨β€πŸ’»Machine Learning Developer

πŸ“Chennai, India

βŒ›2019/Apr - 2020/Nov

Manager: Dr. Avinash Achar, Academic Collaborator: Dr. Balaraman Ravindran

  • Improved sales prediction models for the retails client using N-Gram models and Deep Neural Networks like RNNs and LSTNet

  • Implemented latest spatio-temporal travel time prediction models as baselines for evaluating temporal difference prediction models

  • Developed intelligent employee profile retrieval system using text mining techniques

  • Developed yield prediction model for hybrid corn crops to recommend effective crossing of species

  • Developed computer vision pipelines to solve curved text extraction, perspective correction etc.

IIT Madras / One Fourth Labs / AI4Bharat

πŸ‘¨β€πŸ’»Machine Learning Project Intern

πŸ“Chennai, India

βŒ›2018/Dec - 2019/Mar

Advisors: Dr. Pratyush Kumar, Dr. Mitesh Khapra

  • Developed robust scene text recognition architecture for Indian languages

  • Implemented Efficient and Accurate Scene Text Detector (EAST) for Indian signboard scene text detection

  • Developed handwriting recognition system using Convolutional Recurrent Neural Networks for automatic answer-script evaluation

  • Set up programming competitions for the PadhAI Deep Learning course