Experience

LG Ad Solutions

• United States
• Advertising Services
• 200 - 300 Employee

• Data Scientist

  • Jul 2021 - Present

  India



Bang & Olufsen

• Denmark
• Computers and Electronics Manufacturing
• 700 & Above Employee

• Artificial Intelligence Engineer

  • Jan 2020 - Aug 2020

  Struer, Middle Jutland, Denmark Designed an optimized convolutional neural network(CNN) architecture to perform Acoustic scene classification on low-powered, low-memory devices such as headphones, to enhance and adapt the noise cancellation filters based on listener's surroundings Adapted the CNN model to perform high-accuracy inference on company-specific-microphone recordings, via transfer learning Developed end-to-end framework for rapid experimentation with CNN architectures, data preprocessing methods, transfer… Show more Designed an optimized convolutional neural network(CNN) architecture to perform Acoustic scene classification on low-powered, low-memory devices such as headphones, to enhance and adapt the noise cancellation filters based on listener's surroundings Adapted the CNN model to perform high-accuracy inference on company-specific-microphone recordings, via transfer learning Developed end-to-end framework for rapid experimentation with CNN architectures, data preprocessing methods, transfer learning Reduced memory requirements further by pruning and quantizing the 32-bit float model to low-memory 8-bit integers and optimizing the input preprocessing and space requirements Show less



American Express

• United States
• Financial Services
• 700 & Above Employee

• Software Engineer

  • May 2019 - Jul 2019

  Gurgaon, India Worked with the engineering team on the development of Enterprise Communications Platform (Raven) Collaborated to come up with an architecture for and develop one of the components of Raven, following Agile methodology Built custom JSON and POJO parsers, which were generic and required no code changes when any change in requirements/specifications occur in future



Safe Security

• United States
• Computer and Network Security
• 200 - 300 Employee

• Machine Learning Researcher

  • May 2018 - Jul 2018

  New Delhi Area, India Adversarial Machine Learning: Working on finding and exploiting vulnerabilities in various Machine Learning Models such as Support Vector Machines, Naive Bayes and Neural networks. Prepared a basic program to exploit vulnerabilities leading to a reduction in vulnerabilities of a Machine Learning Model. This model can then also be used to see how vulnerable a given neural network is to certain types of attacks.