# Cameron Baab > Software Engineer II @ Notable Location: New York, New York, United States Profile: https://flows.cv/cameronbaab ## Work Experience ### Software Engineer II @ Notable Jan 2024 – Present | San Mateo, California, United States ### Software Engineer I @ Notable Jan 2023 – Jan 2024 | San Mateo, California, United States ### Software Engineer @ Meta Jan 2022 – Jan 2022 | San Francisco Bay Area • Spent 6 weeks in Meta’s new hire engineering bootcamp program. Developed rendering code for action logs in Instagram Direct and deployed logic for electrification savings calculator for Facebook. Unfortunately, affected by Meta’s 11,000 person reduction in force (RIF). ### Software Engineer @ Radiance Commerce Jan 2021 – Jan 2022 | San Francisco Bay Area • Created a usage-based billing system using Java, AWS, Elasticsearch, and Shopify. Integrated system into the production backend. System provides tier-based pricing, self-serve purchasing, usage tracking, and customer notifications. • Developed an Angular-based dashboard for customers to manage capacity usage and purchase usage plans. • Architected and coded an automated reporting system to provide customers with frequent analytics via email, improving customer satisfaction. Built using Java, AWS Lambda, and Keen. • Deployed code to production via CI/CD pipelines. ### Undergraduate Software Engineering and Machine Learning Researcher @ CSI-Cancer: USC Michelson Center Convergent Science Institute in Cancer Jan 2018 – Jan 2022 | Los Angeles, CA • Collaborated with the Children’s Hospital of Los Angeles to develop a machine learning model to improve treatment of Retinoblastoma patients using Python and Tensorflow. ### Software Engineer @ swarmin.ai Jan 2020 – Jan 2021 | San Francisco Bay Area • Led the development of a new SAAS application for federated fraud detection, opening a new market segment for the company. Designed a novel architecture using Python, Numpy, and Tensorflow. Managed a two-person development team. Pitched the product to Fortune 500 companies. • Built a customer dashboard to monitor real-time fraud attacks using React and D3.js. • Cut memory consumption of the company’s content recommendation server through SQL database optimization. ### Research Assistant @ Canary Center at Stanford for Cancer Early Detection Jan 2016 – Jan 2019 | Palo Alto, CA • Developed a natural language pipeline, Markerville, which queries cancer literature and extracts relational cancer data into a web visualization. Used Snorkel for entity extraction and unsupervised training set generation and Keras for neural network training. • Designed and built models using DeepDive, Snorkel Open Source, Stanford CoreNLP, and Keras. ### Research Assistant @ Canary Center at Stanford for Cancer Early Detection Jan 2019 – Jan 2019 | Palo Alto, CA • Developed a computer vision based machine learning model for personalized treatment of prostate cancer patients using PostgresSQL, OpenCV, and Scikit-learn. ### Topics in Bioscience and Biotechnology Summer Program @ Stanford Pre-Collegiate Summer Institutes Jan 2015 – Jan 2015 • Focused on understanding the natural laws governing genetic changes within a population and the mathematical models that help test hypotheses about the forces causing these changes. • Learned the computer programming skills that allowed me to perform analyses of real genomic data. Used R, the open source statistical programming environment. • Visited several Stanford research labs in the fields of genetics, evolution and medicine; including Dr. Dmitri Petrov, Dr. Susan McConnell, Dr. Carlos Bustamonte, Dr. Hunter Fraser, Dr. PJ Utz, and the Stanford PAN (protein and nucleic acid) facility. • Performed a group project studying Huntington’s disease. ## Education ### BS in Computer Science University of Southern California ### High School Diploma Menlo School, Atherton, CA ## Contact & Social - LinkedIn: https://linkedin.com/in/cbaab --- Source: https://flows.cv/cameronbaab JSON Resume: https://flows.cv/cameronbaab/resume.json Last updated: 2026-04-05