Engineered natural-language prompts to elicit functional front-end code responses from LLMs, focusing on HTML/CSS/JS.
Led multi-turn conversations with models to iterate on UI/UX improvements, bug fixes, and new feature implementations.
Authored rubrics to evaluate LLM output against clearly defined frontend requirements, emphasizing clarity, technical precision, and visual fidelity.
Tracked model performance over time, identifying failure cases and providing structured feedback to enhance model capabilities.
Jan 2025 – May 2025
Mercor AI
Computing Science Expert
Remote
Assessed the correctness, completeness, and clarity of AI-generated solutions to STEM questions, ensuring alignment with expert-level reasoning and academic standards.
Evaluated step-by-step solutions in mathematics, and computer science for factual accuracy, logical consistency, and appropriate formatting.
Applied formal evaluation criteria to provide detailed feedback on AI output quality, including grading explanations, identifying logical fallacies, and verifying mathematical correctness.
Contributed to iterative improvement of AI guidelines by highlighting ambiguities and edge cases in response standards.
Jan 2024 – May 2024
UAStarr Alberta Rocket Research
Software Team Member
Edmonton, AB
Contributed to the design and development of the UASTARR website, fixing bugs, implementing features, and improving user experience.
Enhanced rocket tracking accuracy by 12% through the integration of efficient tracking algorithms, including Kalman filtering, and optimized code performance.
Sep 2023 – Dec 2023
AlbertaSat
Software Team Member
Edmonton, AB
Helped develop an open-source React web application with a RESTful API backend for CubeSat satellite communication.
Wrote a C script using the Sub-GHz radio driver on an STM32 board to receive and decode radio packets from a team-built rocket.