About Brendan

I’m a CS and Business student at USC with experience in software engineering, machine learning research, and product leadership. I’ve built analytics systems, full-stack products, and research-driven projects using Python, Java, React, AWS, and SQL. My background includes internships, research, and leading technical work across fast-moving teams. I’m currently looking for software engineering opportunities where I can contribute to meaningful products and keep growing as a builder.

Resume

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JavaJavaJavaJavaJavaJavaJavaJavaJavaJavaJavaJavaJavaJavaJava
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Experience

Software Engineer Intern

May 2026 – Aug 2026 / Humana

• Incoming Software Engineer Intern at Humana, working with the OneHome Technology team within the CenterWell & Humana Military segment.

Software Engineer Intern

Aug 2025 – Nov 2025 / Bout Scout

• Integrated PostHog across frontend and backend systems, improving analytics accuracy through end-to-end user identification.
• Improved monthly user tracking precision by developing onboarding identifiers with React, Ruby on Rails, and PostgreSQL, enabling better analytics for combat sports athletes.

Undergraduate Machine Learning Researcher

May 2025 – Jul 2025 / Texas Advanced Computing Center

• Achieved stronger early learning in agents, via warm-starting Q-learning with BFS, DFS, and A* variants in Python, with 33.5% total improvement from baseline.
• Delivered reproducible results, via Texas Advanced Computing Center HPC, with 200-episode evaluations repeated 10x per algorithm and A* distance reaching 90% of max by episode 2.

Software Engineer Intern

Apr 2025 – May 2025 / Computing Talent Initiative

• Recruited into a newly created SWE role after CTI saw my App Tracked prototype; led a team of 2 engineers using React, Prisma, and PostgreSQL.

• Increased students’ expected internship offers 7× by building a quota-driven Kanban workflow with automated follow-ups, meet-up tracking, and a drag-and-drop React DnD interface with real-time sync.

Software Engineer Intern

Jan 2025 – Apr 2025 / Dagster

• Resolved a critical type inference issue by fixing pipeline execution failures in an open-source cloud-native data orchestrator.
• Debugged a complex issue in a Python codebase, and implemented a fix that improved pipeline reliability for 800+ active companies with revenue-generating products.

Education

B.S. Computer Science and Business Administration

May 2028 / University of Southern California (USC)

Product Manager at HackSC Hackathon Club