Experience

GH Labs

• United States
• Research Services
• 1 - 100 Employee

• Machine Learning Scientist

  • Jul 2020 - Present

  - Image classification, video classification, objection detection, LSTM, active learning, neural network search, image segmentation, and adversarial learning. - Applied Machine Learning for the healthcare datasets. - Deploying efficient deep learning models to the edge devices. - Infrastructure development for the entire ML project cycle - data collection, annotation, algorithm development, and deployment. - Image classification, video classification, objection detection, LSTM, active learning, neural network search, image segmentation, and adversarial learning. - Applied Machine Learning for the healthcare datasets. - Deploying efficient deep learning models to the edge devices. - Infrastructure development for the entire ML project cycle - data collection, annotation, algorithm development, and deployment.



Intellectual Ventures

• United States
• Venture Capital and Private Equity Principals
• 100 - 200 Employee

• Machine Learning Research Scientist

  • May 2017 - Jul 2020

  - Developing deep learning enabled algorithms to speed up healthcare diagnosis (e.g. ultrasound image analysis, microscopy analysis, etc). - Deploying efficient deep learning architectures for low compute mobile devices. - Developing deep learning enabled algorithms to speed up healthcare diagnosis (e.g. ultrasound image analysis, microscopy analysis, etc). - Deploying efficient deep learning architectures for low compute mobile devices.



Rochester Institute of Technology

• United States
• Higher Education
• 700 & Above Employee

• Graduate Deep Learning Researcher

  • Jan 2017 - May 2017

  - Worked as a graduate research assistant in a diverse machine learning group. - Lead the research work on spatiotemporal analysis of video sequences, events/activity recognition and efficient deep learning. - Developed a text summarization module with LSTM, word embedding, and neural attention mechanism. - Worked as a graduate research assistant in a diverse machine learning group. - Lead the research work on spatiotemporal analysis of video sequences, events/activity recognition and efficient deep learning. - Developed a text summarization module with LSTM, word embedding, and neural attention mechanism.



Ahold Delhaize

• Netherlands
• Retail
• 700 & Above Employee

• Computer Vision Intern

  • Jun 2016 - Dec 2016

  - Developed a computer vision solution for automatic storage monitoring through live streaming. - Designed a system for automatic navigation system for indoor Robots. - Developed a NLP enabled ChatBot solution for customer inquiries. - Developed a computer vision solution for automatic storage monitoring through live streaming. - Designed a system for automatic navigation system for indoor Robots. - Developed a NLP enabled ChatBot solution for customer inquiries.