# Brandon Bai > Software Engineer | Passionate About Building Scalable Solutions to Impact Billions Location: Cupertino, California, United States Profile: https://flows.cv/brandonbai A Software Engineer driven by the mission to build large-scale projects that can impact billions of people! At Everlaw, I specialize in full-stack development and performance optimization, enhancing complex software solutions across cloud-based platforms. I thrive on solving challenging problems and have a proven track record of optimizing large-scale systems, refactoring code for performance gains, and building end-to-end solutions. My passions fuel my zest for life! I am an avid fitness enthusiast, half-marathon runner, and a licensed ski coach! These activities keep me sharp and energized, and they help me bring resilience and a strong commitment to excellence to my professional work. ## Work Experience ### Software Engineer @ Everlaw Jan 2023 – Present | Oakland, California, United States • Managed the end-to-end development of a large-scale enterprise data platform designed to ingest billions of documents, enabling fast search and real-time collaboration, powered by Java/Spring Boot, Hibernate, Python, AWS EC2/S3, and React/Dojo. • Built and maintained a compliance orchestration service managing millions of data owners with event-driven pipelines handling millions of notifications monthly. • Enhanced a Python- and AWS-based ETL pipeline for data parsing and metadata extraction, supporting 100+ file types, and optimizing metadata capture to streamline upload workflows. ### Researcher @ Carnegie Mellon University Jan 2022 – Jan 2022 • Initialized an automated pipeline using Azure Container Instances and Azure Functions for running university research codes, addressing low automation, low maintainability, and high operational costs. • Integrated existing research codes into the designed pipeline manually, ensuring compatibility and seamless migration. ### Software Engineer Internship @ TuSimple Jan 2022 – Jan 2022 | San Diego, California, United States Cloud task scheduler • Developed a company-wide task scheduler in Python to perform cloud computing tasks on Amazon EC2 Instances, handling up to ~6,000 tasks per second and 4,000 instances through EC2 spot fleet. • Minimized workload cost by implementing a task scheduling algorithm to dynamically adjust instance size and instance computing power, based on task count and resources needed per task. • Decreased ~2.5% instance utilization by diminishing redundant instance initialization, reducing ~$15k budget monthly. Internal tool • Implemented a Python and SQL based solution to optimize the database scripting efficiency for updating mass data. • Developed a wrapper API in Python to batch transactions concurrently for database scripting, increasing speed by 4x and reducing 80%+ memory use. • Logged data changes and transaction events using PG/plSQL, and developed a log-based rollback function to assist with batch scripting; visualized logs in a tabular view by developing 4 web pages in Vue.js. ### Software Engineer Volunteer @ Carboncopies Foundation Jan 2022 – Jan 2022 Developed a biological neuron emulation platform to emulate human brain activities in C++. ### Researcher @ Carnegie Mellon University Jan 2022 – Jan 2022 | Mountain View, California, United States • Devised a solution in Python and Azure Functions to analyze students study habits and predict course drop out possibilities. • Optimized 6 hot queries performance by 50 - 80% through query analysis and optimizing query semantics. ### Software Test Engineer Internship @ Bifrost Cloud Jan 2020 – Jan 2021 Tested two Android cloud gaming applications with over 1m registered users, Netboom and Bifrost. ## Education ### Master of Science - MS in Software Engineering Carnegie Mellon University ### Bachelor of Science - BS in Computer science UC Santa Barbara ## Contact & Social - LinkedIn: https://linkedin.com/in/brandonbai --- Source: https://flows.cv/brandonbai JSON Resume: https://flows.cv/brandonbai/resume.json Last updated: 2026-04-11