Experience

Tomato.ai

• Technology, Information and Internet
• 1 - 100 Employee

• Machine Learning Engineer

  • Jul 2023 - Present

  San Francisco Bay Area - Develop and operate pipelines for large-scale speech data processing using Apache Beam and write algorithms for training data selection and augmentation for speech ML models - Conduct experiments including training and evaluating speech ML models; generate insights on improving model performance via data methods and collaborate with the researchers to achieve the model performance goals



Google

• United States
• Software Development
• 700 & Above Employee

• Software Engineer II

  • Mar 2022 - Mar 2023

  Mountain View, California, United States I’ve worked in the AR metrics team on the Google Glass product. I was responsible for the experience metrics of the glasses from features like camera, Google Lens, Google Assistant, etc. Moreover, I’ve worked in Google Brain’s auto-arborist team as a part of a 20% project on tree detection using CV models.



Amazon

• United States
• Software Development
• 700 & Above Employee

• Applied Scientist Intern

  • May 2021 - Aug 2021

  Sunnyvale, California, United States Designed and developed a wakeword model for ultra-low power devices in Alexa’s wakeword team.



USC Information Sciences Institute

• United States
• Research
• 200 - 300 Employee

• Machine Learning Researcher

  • Jul 2020 - Apr 2021

  Marina del Rey, California, United States Worked on creating end-to-end model training pipeline of UNet model for distributed computing environments like OSG grid, using pegasus-API.