# Aubhro Sengupta > I enjoy building software systems Location: San Francisco Bay Area, United States Profile: https://flows.cv/aubhro Startup Engineer, Ex-undergraduate researcher @ Georgia Tech Databases Group ## Work Experience ### Software Engineer @ PerformanceStar LLC Jan 2024 – Jan 2024 | Santa Clara, California, United States ### Software Engineer @ Linea Jan 2023 – Jan 2023 | San Francisco, California, United States ### Software Engineer Intern @ Linea Jan 2022 – Jan 2022 | San Francisco, California, United States I worked on LineaPy, an open-source library to capture, analyze, and transform data science notebook code into production-ready pipelines. ### Software Engineer Intern @ Google Jan 2021 – Jan 2021 | Sunnyvale, California, United States Google Cloud DevRez ### Software Engineer Intern @ Salesforce Jan 2020 – Jan 2020 | San Francisco, California, United States I built an Apex and Visualforce page in Advanced Approvals to display approval status. ### Software Engineering Intern @ Google Jan 2019 – Jan 2019 | Sunnyvale, California ### Software Engineer Intern @ VMware Jan 2019 – Jan 2019 | Palo Alto, California ### Undergraduate Research Assistant @ Georgia Institute of Technology Jan 2018 – Jan 2019 | Greater Atlanta Area ### Participant @ Major League Hacking Jan 2017 – Jan 2018 | San Francisco Bay Area I worked with my team Proton Hackers to compete in a series of hackathons. ### Application Developer @ Accellera Systems Initiative Jan 2017 – Jan 2018 | San Francisco Bay Area I developed iOS apps for DvCon 2017, DvCon Europe 2017, and DvCon 2018. ### Speaker @ PyOhio Jan 2017 – Jan 2017 | Columbus, Ohio Area When IBM’s Deep Blue beat reigning chess champion Garry Kasparov in 1997, it was established that computers could beat even the best human at chess. Today, chess engines contain many lines of code handcrafted under the guidance of grandmasters. Are you interested in being knee deep in chess theory just to crank out a half decent engine? No? This talk is for you. Why not create an engine that learns to improve itself? Python has a vast array of excellent machine learning libraries and compatibility with C that make it fit for the task of building such a chess engine. From zero sum game maximization, to applying the Markov Decision Process, this talk will explore how a computer can learn from mistakes and formulate a strategy on how to win at chess. ### Student Volunteer @ United Nations Jan 2016 – Jan 2017 Worked on UN Department of Economic and Social Affairs Website. Created Security Document Classifier. ### Participant @ SYNOPSYS SILICON VALLEY SCIENCE & TECHNOLOGY OUTREACH FOUNDATION Jan 2014 – Jan 2017 | San Francisco Bay Area I participated in Synopsys science fair in 2015 and 2017. Projects 2015 - Heat Powered Hearing Aids: Powering Hearing Aids from body heat 2017 - Vitaminator - Detecting Vitamin D Deficiency from photos of fingernails using deep neural networks ## Contact & Social - LinkedIn: https://linkedin.com/in/aubhro-sengupta-098a00158 --- Source: https://flows.cv/aubhro JSON Resume: https://flows.cv/aubhro/resume.json Last updated: 2026-03-23