# Priya Varra > Software Engineer at Google Location: San Francisco Bay Area, United States Profile: https://flows.cv/priyavarra Software engineer at Google with an interest in software development, data science, and machine learning. ## Work Experience ### Software Engineer @ Google Jan 2022 – Present | Mountain View, California, United States ### SWE Intern @ Intel Corporation Jan 2021 – Jan 2021 | Remote Interned on team that provides infrastructure for virtual platform development Enabled advanced dashboards using Splunk search processing language and Simple XML source code to highlight utilization trends for several infrastructure resources Created web application using full stack development with React JS and Next.js to display interactive platform performance dashboards and allow direct editing/adding of dashboards by platform owners Configured REST API endpoints and developed structure for monitoring health of several infrastructure services ### SWE Intern @ Google Jan 2021 – Jan 2021 | Remote Interned on team that develops computer-vision based infrastructure for UI automation and assertion Developed heuristics for extracting ground truth data from un-processed dataset of >70k Android UIs and performed large-scale accuracy benchmarking of team’s UI element detection methods Designed and tested alternative method for detecting icons in UI screenshots using blob detection Researched and implemented metrics for predicting the similarity of two UI layouts for clustering UI designs ### Concepts of Mathematics & Linear Algebra Supplemental Instruction Leader @ Student Academic Success Center (Carnegie Mellon University) Jan 2019 – Jan 2021 | Pittsburgh, PA Created problems and worksheets that reinforce key concepts taught in course covering informal logic, proofs, set theory, number theory, combinatorics, and probability and course covering linear algebra and matrix theory Lead weekly sessions and exam reviews guiding groups of students to understand course material through collaborative learning techniques ### Program Analysis Teaching Assistant @ Institute for Software Research (Carnegie Mellon University) Jan 2021 – Jan 2021 Taught recitations, held office hours, developed quizzes, and organized and graded assignments for undergraduate/graduate level course covering program representations, data flow analysis, alias analysis, interprocedural analysis, dynamic analysis, and symbolic execution ### Computational Medicine Teaching Assistant @ Computational Biology Department (Carnegie Mellon University) Jan 2020 – Jan 2020 | Pittsburgh, PA Developed assignments, taught recitations, held office hours, and graded assignments for undergraduate/graduate level course focusing on algorithms, computational methods, and data analysis techniques used in modern medicine Assisted students with learning and using Jupyter Notebook and scikit-learn to analyze large sets of medical data ### STEP Intern @ Google Jan 2020 – Jan 2020 | Remote Designed and implemented search algorithm that finds destinations reachable within a given travel time from a start location by integrating features of Google Places and Distance Matrix APIs Developed a road-trip planning web application, Where to?, in collaboration with two interns that utilizes above algorithm to provide interactive discovery of tourist attractions by start location, travel time, and destination type Utilized Bootstrap to enrich UI for entering search options and to display useful details for attractions (e.g. ratings, directions, phone number, website, opening hours) in a visually engaging format Created personal portfolio using full stack development with HTML, CSS, JavaScript, and Java servlets, and incorporated Google Users, Maps, and Cloud Translation APIs to develop interactive comment and map features ### Data Science Intern @ Volteo Jan 2019 – Jan 2019 | Chandler, AZ Researched and developed Python algorithm that detects if traffic camera has deviated from original position directly from camera’s images Deployed algorithm to production using AWS Lambda for over 1,000 unique cameras Created UI that queries ElasticSearch to display camera images and histograms for internal testing and debugging Wrote scripts to automate collection and processing of traffic camera images for training machine learning models ## Education ### Bachelor's degree in Computer Science Carnegie Mellon University Jan 2018 – Jan 2021 ### Corona Del Sol High School Jan 2014 – Jan 2018 ## Contact & Social - LinkedIn: https://linkedin.com/in/priyavarra --- Source: https://flows.cv/priyavarra JSON Resume: https://flows.cv/priyavarra/resume.json Last updated: 2026-03-22