# Keerthi Bhattaram > Software Engineer at Otter.ai Location: San Jose, California, United States Profile: https://flows.cv/keerthibhattaram ## Work Experience ### Software Engineer @ Otter.ai Jan 2025 – Present ### Software Engineer @ Apple Jan 2021 – Jan 2024 Power and Performance Team ### Software Engineer @ Everlaw Jan 2020 – Jan 2021 - Full stack software engineer working on the Native Uploads page using Typescript and Java, enabling users to upload and download documents - Worked on Python scripts to ease setup for new engineers - Led mentorship program to teach coding virtually to students during the pandemic ### Software Engineer Intern @ Lacework Jan 2019 – Jan 2019 -Designed and created compliance APIs as part of the backend software engineering team -Wrote autoscaling enabling/disabling for internally used AWS DynamoDB databases ### Software Engineering Intern @ Microsoft Jan 2018 – Jan 2018 | Redmond, Washington - Ported Autopilot (data center management system) code into a different OS as part of an effort to bring in new AI/other developments into Autopilot - Wrote tests for watchdogs in Autopilot to be compatible across different OS protocols to log event messages - Designed test definition format in XML for equivalent fields across different OS event logging protocols ### Software Engineer Intern @ Cisco Jan 2017 – Jan 2017 -Wrote Python scripts to configure routers/UCS and aid users in setting up existing project to track router health information (ensuring VM proxy is set up, installations, etc.) -Debugged legacy Javascript and Java code and interpreted MongoDB data for project to track router health. -Automated various periodic updates to allow team's engineers to work with latest developed router image (reimaging routers, checking CCC process state, updating workspace) ### Student, Reasoning About Luck: Probability, Statistics, and Their Uses in Science @ COSMOS, UC Irvine Jan 2015 – Jan 2015 -Determined the mass of the Z-Boson and quantified experimental errors in this mass with a team -Wrote code similar to least squares to find the best fit for the Gaussian curve of the Z-Boson’s mass. -Used Python (and its statistical libraries) to analyze large data sets (momentum, mass etc. of particles) ## Education ### Computer Science University of California, Berkeley ## Contact & Social - LinkedIn: https://linkedin.com/in/keerthi-bhattaram --- Source: https://flows.cv/keerthibhattaram JSON Resume: https://flows.cv/keerthibhattaram/resume.json Last updated: 2026-04-11