Experience

• 

  Indian institute of science (iisc)

  May 2016 - Jul 2016

  Summer School in High Performance Computing. Conducted by professors from IIT-Madras, IIT-Bombay, IIT-Delhi, IIT-Kanpur and Indian Institute of Science. Explored acceleration of Machine Learning algorithms using CuDNN (CUDA for Deep Neural Networks). Researched on the performance comparison of Caffe and Theano frameworks with Convolutional Neural Networks.

  • Intern (High Performance Computing)

    Jun 2016 - Jul 2016

  • Intern (Machine Learning)

    May 2016 - Jul 2016
• 

  Intuit

  May 2017 - Jul 2017

  Intern

  • Prototyped novel method for automatic extraction of customer data from W2 and 1040 tax forms. Applied machine learning to detect spacial coordinates of fields and leveraged advanced string matching algorithms to detect the relevance of fields.

• 

  Intuit

  Aug 2018 - Jun 2024

  • Developed Deep Neural Network to predict sensitivity of tabular data based on column data and attributes. In addition to identifying frequent text patterns, used GloVe embeddings to recognize semantic similarity. Achieved 92% test accuracy.• Built utility scripts for backup and migration of Big Data databases and ingestion pipelines from IHP to AWS. Reduced migration time by 80 hours.• Improved code quality and test coverage of batch ingestion pipeline by 43% using test framework in Python. Stabilized self-serve ingestion UI by leveraging network load-balancing in AWS. Show less

  • Senior Data Engineer

    Aug 2022 - Jun 2024

  • Data Engineer

    Feb 2020 - Aug 2022

  • Software Engineer

    Aug 2018 - Feb 2020
• 

  Northwestern university - kellogg school of management

  Jun 2024 - now

  Mba candidate