Experience

Rockset

• United States
• Software Development
• 1 - 100 Employee

• Engineering Manager

  • Aug 2023 - Present

• Software Engineer

  • Aug 2019 - Aug 2023

  cache rules everything around me



UCLA Engineering Ambassadors

• United States
• Public Relations and Communications Services
• 1 - 100 Employee

• Engineering Ambassador

  • May 2016 - May 2019

  Serve as the face of the UCLA Henry Samueli School of Engineering and Applied Science. Give personal tours of the UCLA Engineering School and research labs to at least three groups every week. Address the concerns of prospective students in their application and decision process. Volunteer at events such as Engineering Welcome Day, which hosts over 700 new students every year. Serve as the face of the UCLA Henry Samueli School of Engineering and Applied Science. Give personal tours of the UCLA Engineering School and research labs to at least three groups every week. Address the concerns of prospective students in their application and decision process. Volunteer at events such as Engineering Welcome Day, which hosts over 700 new students every year.



Facebook

• India
• Banking

• Software Engineer Intern

  • Jun 2018 - Sep 2018

  Implemented script to detect new services after they had been created. Created new service detection algorithm that runs on every submitted diff and warns developers if their diffs are creating new services lacking adequate deployment automation. Auto-generated other diffs to automatically improve deployment automation for services lacking adequate deployment automation. Implemented script to detect new services after they had been created. Created new service detection algorithm that runs on every submitted diff and warns developers if their diffs are creating new services lacking adequate deployment automation. Auto-generated other diffs to automatically improve deployment automation for services lacking adequate deployment automation.

• Software Engineer Intern

  • Jun 2017 - Sep 2017

  Built all infrastructure for comment ranking personalization from ground up: feature engineering, machine learning model execution, and user-personalized ranking of comments. Extracted features from comments and users to use as input for ML models, both in real-time and using data pipelines for aggregate features. Combined user engagement prediction scores generated from ML models for each comment into personalization scores used for ranking comments. Ran ranking experiments in production and… Show more Built all infrastructure for comment ranking personalization from ground up: feature engineering, machine learning model execution, and user-personalized ranking of comments. Extracted features from comments and users to use as input for ML models, both in real-time and using data pipelines for aggregate features. Combined user engagement prediction scores generated from ML models for each comment into personalization scores used for ranking comments. Ran ranking experiments in production and then analyzed resulting metrics. Show less Built all infrastructure for comment ranking personalization from ground up: feature engineering, machine learning model execution, and user-personalized ranking of comments. Extracted features from comments and users to use as input for ML models, both in real-time and using data pipelines for aggregate features. Combined user engagement prediction scores generated from ML models for each comment into personalization scores used for ranking comments. Ran ranking experiments in production and… Show more Built all infrastructure for comment ranking personalization from ground up: feature engineering, machine learning model execution, and user-personalized ranking of comments. Extracted features from comments and users to use as input for ML models, both in real-time and using data pipelines for aggregate features. Combined user engagement prediction scores generated from ML models for each comment into personalization scores used for ranking comments. Ran ranking experiments in production and then analyzed resulting metrics. Show less



Fortinet

• IT Services and IT Consulting

• Jr. Web Developer

  • Jun 2016 - Sep 2016

  Created a new archive for Fortinet’s bug reporting database to optimize time required to view entries by splitting data between two servers. Wrote scripts to correctly insert and remove data between relational databases with tables of +4 million entries (currently used in production). Utilized bug database APIs to implement a new website for Fortinet developers to view the archived entries. Created a new archive for Fortinet’s bug reporting database to optimize time required to view entries by splitting data between two servers. Wrote scripts to correctly insert and remove data between relational databases with tables of +4 million entries (currently used in production). Utilized bug database APIs to implement a new website for Fortinet developers to view the archived entries.