ZIPPORAH BOYANI

I’m a Computer Science Specialist and freelance AI trainer with advanced academic training and hands-on experience evaluating, stress-testing, and improving large-scale language models. I focus on structured technical feedback that strengthens prompt engineering strategies and evaluation metrics.

In my freelance role, I engage large language models in advanced computer science dialogues across algorithms, system design, machine learning, networking, and software engineering. I design complex test scenarios, verify factual accuracy and logical consistency, and document reproducible failure modes to support systematic model hardening.

As an AI model evaluator and data annotation specialist (contract), I annotated and reviewed large-scale technical datasets for training and validating language models. I assess AI outputs for correctness in programming logic, system behavior, and computational reasoning while maintaining high annotation accuracy under strict QA requirements.

I’m detail-oriented and reliable in following annotation guidelines for NLP tasks such as sentiment analysis, intent classification, named entity recognition (NER), and content quality evaluation. With research-oriented coursework in algorithms, machine learning, systems architecture, and distributed computing, I bring analytical reasoning and technical documentation habits to every project.