Brendan Nguy

Run practical workshops on generative AI and LLM tools focused on prompt design, AI-assisted software development, debugging, automation, and effective use of AI in technical workflows. Develop hands-on demonstrations and exercises showing how AI tools can be applied to software development and everyday problem-solving. Apply AI-assisted development tools across projects to prototype features, debug issues, and accelerate implementation while reviewing and validating generated code.

Built an automated Python trading system that generated signals, created and submitted orders, and managed active orders. Deployed on collocated infrastructure and optimized the order-processing path for low-latency execution, including replacing standard client libraries with a custom implementation to reduce submission latency from ~300ms to 30ms. Implemented and tested order-state validation and robust failure-handling for rejected submissions and unintended orders, improving reliability across the order-processing workflow. Participated in code reviews and deployment processes, incorporating feedback and validating changes before release.

Led development of a data-collection platform using React, React Native, PostgreSQL, and REST APIs to automate government rebate applications. Designed a SQL rules engine to evaluate 20+ regulatory requirements and provide immediate validation feedback. Built multi-step data-entry and database workflows that prevent incomplete or non-compliant applications from being submitted. Gathered 15+ user requirements from pilot installers and iterated on workflow and validation improvements based on their feedback.