I'm Alexander Brittain.

During my time at the University of Texas at Austin, I have developed a strong understanding of the intersection between business and technology. I honed my technical skills in SQL, Python, and C#, and enhanced my teamwork abilities through collaborative projects. This combination of technical expertise and collaborative experience enables me to effectively tackle complex organizational challenges and work well within a team.

• Lead full-stack modernization of Priority Pickboard, a warehouse queue management system for 450+ sales centers, rebuilding legacy Angular/SOAP application in Blazor Hosted WebAssembly with Azure APIM to deliver real-time order completion tracking for warehouse staff
• Optimized the Azure Functions pipeline synchronizing Workday data to the internal HR databases; refactored synchronization logic to resolve edge-case failures and ensure high-fidelity reporting for HR stakeholders
• Maintainer and system owner for the legacy HR ecosystem (OMS, PortalSearch), executing complex feature requests and SQL performance tuning to extend the lifespan of critical business tools
• Shipped a secure admin dashboard leveraging Entity Framework to replace ad-hoc SQL queries, reducing production HR data correction time by 80% and improving operational security

• Critically assessed complex AI outputs in coding, mathematics, and reasoning, rigorously verifying correctness, logical soundness, and strict adherence to instructions to uphold high-quality model performance standards.
• Generated critical human feedback data for Reinforcement Learning (RLHF) by meticulously evaluating, comparing, and ranking AI responses, directly guiding model training towards improved helpfulness, honesty, and safety.
• Applied comprehensive programming expertise (Python, C/C++, Bash, TypeScript, etc.) to rigorously test, debug, and verify the functional correctness, efficiency, and security of AI-generated code across diverse languages and paradigms.
• Utilized deep working knowledge of large language model (LLM) capabilities, limitations, and core AI concepts to design effective evaluation strategies and perform nuanced, insightful assessments of model behavior and outputs.

• Ensured a safe environment for an average of 6,500 daily visitors by conducting hourly safety checks and coordinating with multiple departments.
• Managed detailed logs using Microsoft Word and communicated updates via Outlook, demonstrating strong organizational and communication skills.
• Delivered exceptional customer service at the hospitality desk by assisting visitors with directions, tasks, and safety measures, including distributing masks and self-test kits.
• Enhanced my ability to prioritize safety and multitask effectively in a high-traffic environment.