Dylan Rivera

I’m a Computer Science Graduate and Software Developer focused on backend, automation, and applied artificial intelligence. I build with an emphasis on quality, scalability, and collaborative work, using practical engineering and structured evaluation to improve results.

As an AI Quality Reviewer & Prompt Engineer (Freelance), I develop code solutions in Python and JavaScript for supervised LLM training, including data structures, algorithms, and technical prompt design. I run QA and testing on generative AI outputs with technical evaluation rubrics, comparing model responses by functional correctness and algorithmic efficiency, and providing iterative feedback for code model fine-tuning.

I also teach Technology and Computer Science modules (grades 9th–11th), integrating programming and digital data analysis tools while guiding students through hands-on, grade-specific projects that deliver functional digital products. Alongside this, I’ve worked on projects like a Documentary Automation System for contract management and digital signatures, and I’ve contributed publications in areas like big data in education and inclusive digital strategies.