# Brandon Lau > Software Engineer at Columbia University Medical Center Location: Brooklyn, New York, United States Profile: https://flows.cv/brandonlau As a Software Engineer with extensive experience in healthcare technology, I develop innovative solutions that enhance patient care, streamline clinical workflows, and drive the integration of emerging technologies into healthcare systems. At Columbia University Medical Center, I lead the development of machine learning-based Clinical Decision Support (CDS) systems such as the COSMIC Toolkit, integrating React, Node.js, PostgreSQL, and SMART on FHIR to support real-time decision-making in EHR systems. I also oversee the containerization, testing, and deployment of the CONCERN Early Warning System, a predictive patient modeling system leveraging machine learning to identify at-risk patients, utilizing Python, Docker, AWS, and Apache Airflow to create scalable solutions across multiple hospital sites. Previously, at OXOS Medical, I played a pivotal role in architecting the OXOS Platform, a HIPAA-compliant cloud service designed to integrate EHR synchronization, x-ray teleradiology, and automated hospital onboarding to streamline healthcare workflows. As a Cloud Architect, I utilized technologies such as Java, Spring Boot, MySQL, and GCP to design and implement scalable solutions. I am deeply passionate about using software engineering to address complex challenges and drive innovation in healthcare. ## Work Experience ### Park Lab - Software Engineer @ Columbia University Irving Medical Center Jan 2024 – Present | New York City Metropolitan Area • Led full-stack development of the COSMIC CDS Toolkit for ICU clinical decision support, leveraging React, Node.js (Express + TypeScript), and PostgreSQL to visualize ML-predicted risk of delayed cerebral ischemia (DCI). • Architected secure, scalable deployments using Docker, AWS (ECS, EC2, RDS), and SMART on FHIR for seamless Epic EHR integration, enabling real-time access to clinical data. • Collaborated with neurocritical clinicians to translate clinical workflows into intuitive, data-driven decision interfaces to improve patient outcomes and enhance care delivery in critical settings. • Developed dynamic clinical dashboards in React to visualize real-time Epic data via FHIR APIs, enabling ICU teams to track patient trends and support time-critical decisions. ### OPTACIMM Lab - Software Engineer @ Columbia University Irving Medical Center Jan 2024 – Present • Modernized and scaled the CONCERN Early Warning System, a clinical deterioration prediction tool, for multi-institutional deployment, empowering frontline nurses with real-time early warning indicators for patient deterioration risk across diverse EHR environments. • Architected CI/CD pipelines and cloud deployment frameworks using GitLab, Docker, and AWS (CodeDeploy + CodePipeline + Secrets Manager) enabling site-specific customization at scale. • Built and launched concerntoolkit.org, a secure and interactive platform showcasing OPTACIMM’s AI-driven nursing tools, facilitating ANF grant dissemination and national adoption efforts. • Designed and executed advanced SQL pipelines to ingest and normalize billions of patient records from Epic into a custom Microsoft SQL Server environment, establishing the backbone of the SC2K initiative for machine learning on nursing data. • Authored strategic implementation guides used by partner institutions and hospitals, standardizing deployment practices and accelerating national scaling of the CONCERN Early Warning System. ### Software Engineer & Cloud Architect @ OXOS Medical Jan 2023 – Jan 2024 • Led the end-to-end integration of NetSuite with OXOS Platform by leveraging SuiteScript, NetSuite’s proprietary scripting language, and RESTful APIs, resulting in automated customer onboarding, optimized data consistency, and comprehensive x-ray device inventory management. Streamlined efficiency in data synchronization and seamless operations between cross-functional teams using NetSuite APIs. • Implemented OXOS Platform's notification features, enabling In-App, SMS, Email, and Push notifications to our users. Developed key components of the user notification management system utilizing Java and SMS/email integrations with Twilio and SendGrid. Contributed to the design of the backend database structure for efficient storage of user notification preferences across multiple accounts, user permissions, and practices. ### Software Engineer @ OXOS Medical Jan 2021 – Jan 2023 • Coordinated the Backend Development Team to help build and design an MVP for OXOS’s Cloud X-Ray Platform used by patients, doctors, and practices. Produced high-quality, maintainable code by conducting extensive research, comprehensive integration testing, and concise documentation • Developed and deployed HIPAA-compliant healthcare features and APIs using industry standards such as HL7, DICOM, and FHIR for transmitting patient records and x-rays to radiology vendors. • Designed and implemented the architecture for our Access Control system on OXOS Platform, allowing authorized users to seamlessly manage user access to practices and facilities. Developed comprehensive APIs and functionality for efficient management of user permissions to x-ray devices, PACS, and WiFi access within a medical practice. Produced extensive documentation outlining the entire workflow and processes, providing a foundation for company expansion. ### Artificial Intelligence Intern @ Clarifai Jan 2020 – Jan 2020 | New York, New York, United States • Optimized the accuracy and robustness of Clarifai’s AI logo detection by leveraging proprietary software to analyze thousands of sample images, resulting in enhanced brand recognition and visual analysis capabilities. • Refined data processing techniques by improving pattern recognition accuracy of humans, vehicles, and inanimate street objects for autonomous vehicles, resulting in a 12% increase in object detection precision. • Improved accuracy of autonomous vehicles using their AI database by precisely processing extensive dashcam footage into organized datasets. ### Department Assistant @ University at Buffalo Jan 2017 – Jan 2018 • Independently managed the university department lobby by troubleshooting technical issues for computers and commercial printers, designing promotional material for campus events, and revising university documents. • Developed and led the creation of comprehensive documentation and instructional guides for electronic equipment, improving efficiency and simplifying troubleshooting processes. • Delivered ongoing IT support by diagnosing and resolving hardware and software issues, ensuring minimal downtime for department staff and students. ## Education ### Bachelor of Science - BS in Computer Science University at Buffalo Jan 2017 – Jan 2021 ## Contact & Social - LinkedIn: https://linkedin.com/in/brandonlau01 --- Source: https://flows.cv/brandonlau JSON Resume: https://flows.cv/brandonlau/resume.json Last updated: 2026-03-23